{"cells":[{"metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","trusted":true},"cell_type":"code","source":"import math\nimport seaborn as sns\nsns.set(style=\"whitegrid\", color_codes=True)\nfrom wordcloud import WordCloud, STOPWORDS\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport numpy as np # linear algebra\nimport matplotlib \nimport matplotlib.pyplot as plt\nimport sklearn\n%matplotlib inline\nimport matplotlib.pyplot as plt \nplt.rcParams[\"figure.figsize\"] = [16, 12]\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input/\"]).decode(\"utf8\"))\nfilenames = check_output([\"ls\", \"../input/\"]).decode(\"utf8\").strip()\nimport chardet\nnp.random.seed(0)","execution_count":1,"outputs":[]},{"metadata":{"collapsed":true,"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.5","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}