{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"28e633da-26be-390c-9185-a449bbb76194"},"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":"51949b42-b911-8914-5f4f-605e95c56242"},"outputs":[],"source":"clicks_train = pd.read_csv('../input/clicks_train.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"a09bdc1e-7aa8-c8b2-c394-36d2ad98a22d"},"outputs":[],"source":"clicks_train.clicked.value_counts()"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"c76ff7bd-a123-01ff-fd4b-d81399062b76"},"outputs":[],"source":"documents_categories = pd.read_csv('../input/documents_categories.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"a545841d-7d7d-5d40-7152-b36a1247a1d1"},"outputs":[],"source":"clicks_train."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"ec17e710-eabb-e377-e07d-7c69259ecfbe"},"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}