{"cells":[{"cell_type":"markdown","metadata":{"_cell_guid":"43090c77-b692-6586-bbac-1200629716e7"},"source":"## Load data"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"7d96b5d9-49e8-03ba-f47f-9472838739ef"},"outputs":[],"source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\ncategorical = pd.DataFrame.from_csv('../input/train_categorical.csv')\ndate = pd.DataFrame.from_csv('../input/train_date.csv.csv')\nnumeric = pd.DataFarme.from_csv('../input/train_numeric.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"4f7bbd7b-8aa8-ca1b-d988-8d312173049b"},"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}