{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"caa89f7a-539b-6a51-2f18-6b90301180b7"},"outputs":[],"source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"45dfd837-44d2-7c5b-0622-18019429fb93"},"outputs":[],"source":"data_documents_categories=pd.read_csv(\"../input/documents_categories.csv\")"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"28ca7254-674c-3b13-821e-7f31f8990d59"},"outputs":[],"source":"data_click_train=pd.read_csv(\"../input/clicks_train.csv\")"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"c7c8fa35-ccad-33cf-9d7f-f063d8058322"},"outputs":[],"source":"data_click_train.head()"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"82e97104-1e8f-d307-e045-f200740cebf9"},"outputs":[],"source":""}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.5.2"}},"nbformat":4,"nbformat_minor":0}