{"cells":[{"cell_type":"markdown","metadata":{"_cell_guid":"4785d002-4b56-d420-2eb8-79e5275ac311"},"source":"#Import Packages and Set Options"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"e494a4bc-c7af-b841-d866-2727b6561d71"},"outputs":[],"source":"\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":"markdown","metadata":{"_cell_guid":"e8058732-58a7-3cd1-7298-b7a392c46ecb"},"source":"#Data Exploration"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"6f8e735d-3e88-a87b-f83e-830f5bba26dc"},"outputs":[],"source":"#Import Train and Test Sets\ntrain = \ntest ="}],"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}