{
  "id": 370740,
  "title": "📌 HOG↗️➡️↘️ + EDA📈 + Modeling🔥",
  "url": "/competitions/rsna-breast-cancer-detection/discussion/370740",
  "author_name": "Hasan Basri Akçay",
  "post_date": "2022-12-06T09:01:13.196000",
  "votes": 4,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi all,</p>\n<p>I prepared a <a href=\"https://www.kaggle.com/code/hasanbasriakcay/rsna-eda-hog-features-modeling\" target=\"_blank\">notebook</a> about HOG features. You can find HOG features usage, EDA, and modeling in the notebook. </p>\n<p>According to analysis 101. the gradient is the most important for cancer. You can see the distribution differences below.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3381067%2F679e87853f4e0c33551bf6f9953fc057%2F__results___37_0.png?generation=1670316892802193&amp;alt=media\" alt=\"\"></p>\n<p>Kindly upvote if you find it useful 😊</p>",
  "messages": [
    {
      "id": 2056575,
      "postDate": "2022-12-06T09:01:13.197Z",
      "content": "<p>Hi all,</p>\n<p>I prepared a <a href=\"https://www.kaggle.com/code/hasanbasriakcay/rsna-eda-hog-features-modeling\" target=\"_blank\">notebook</a> about HOG features. You can find HOG features usage, EDA, and modeling in the notebook. </p>\n<p>According to analysis 101. the gradient is the most important for cancer. You can see the distribution differences below.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3381067%2F679e87853f4e0c33551bf6f9953fc057%2F__results___37_0.png?generation=1670316892802193&amp;alt=media\" alt=\"\"></p>\n<p>Kindly upvote if you find it useful 😊</p>",
      "rawMarkdown": "Hi all,\n\nI prepared a [notebook](https://www.kaggle.com/code/hasanbasriakcay/rsna-eda-hog-features-modeling) about HOG features. You can find HOG features usage, EDA, and modeling in the notebook. \n\nAccording to analysis 101. the gradient is the most important for cancer. You can see the distribution differences below.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3381067%2F679e87853f4e0c33551bf6f9953fc057%2F__results___37_0.png?generation=1670316892802193&alt=media)\n\nKindly upvote if you find it useful 😊",
      "votes": 3
    },
    {
      "id": 2057190,
      "postDate": "2022-12-06T20:30:06.437Z",
      "content": "<p>Indeed, very interesting code with Histogram of Oriented Gradients. Teşekkür ederim Akçay.</p>",
      "rawMarkdown": "Indeed, very interesting code with Histogram of Oriented Gradients. Teşekkür ederim Akçay.",
      "votes": 1,
      "replies": [
        {
          "id": 2057647,
          "postDate": "2022-12-07T09:28:20.123Z",
          "content": "<p>Thank you so much for your support <a href=\"https://www.kaggle.com/mpwolke\" target=\"_blank\">@mpwolke</a> 👍</p>",
          "rawMarkdown": "Thank you so much for your support @mpwolke 👍",
          "votes": 1
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 2057190,
      "author_name": "Marília Prata",
      "author_url": "",
      "post_date": "2022-12-06T20:30:06.437000",
      "content": "<p>Indeed, very interesting code with Histogram of Oriented Gradients. Teşekkür ederim Akçay.</p>",
      "votes": 1,
      "replies": [
        {
          "id": 2057647,
          "author_name": "Hasan Basri Akçay",
          "author_url": "",
          "post_date": "2022-12-07T09:28:20.123000",
          "content": "<p>Thank you so much for your support <a href=\"https://www.kaggle.com/mpwolke\" target=\"_blank\">@mpwolke</a> 👍</p>",
          "votes": 1,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2056575": "Hi all,\n\nI prepared a [notebook](https://www.kaggle.com/code/hasanbasriakcay/rsna-eda-hog-features-modeling) about HOG features. You can find HOG features usage, EDA, and modeling in the notebook. \n\nAccording to analysis 101. the gradient is the most important for cancer. You can see the distribution differences below.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F3381067%2F679e87853f4e0c33551bf6f9953fc057%2F__results___37_0.png?generation=1670316892802193&alt=media)\n\nKindly upvote if you find it useful 😊",
    "2057190": "Indeed, very interesting code with Histogram of Oriented Gradients. Teşekkür ederim Akçay."
  }
}