{"cells":[{"metadata":{"_uuid":"c7bae7de7195386608e4fb306906bf65b4d74bb1"},"cell_type":"markdown","source":"* **Exploratory Data Analysis and Light Gradient Boosting **"},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","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 \nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\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\nimport os\nprint(os.listdir(\"../input\"))\nimport pandas as pd\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"# Load Train and test dataset\n\n# Overview of train dataset\ndf_train = pd.read_csv(\"../input/train.csv\")\nprint(\"Train dataset loaded\", format(str(df_train.shape[0])))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"ae59027be436e18225340f410562917b9dffbbc7"},"cell_type":"code","source":"# overview of train data and columns\ndf_train.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"ae72bd5ae6d518e4de4a6d90c8d8aa56cfd81a48"},"cell_type":"code","source":"# Load and explore test dataset\ndf_test = pd.read_csv(\"../input/test.csv\")\nprint(\"test data loaded size: \", format(str(df_test.shape[0])))\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"2b07f1c15e1049708547f76b4cfb6b286ef03739"},"cell_type":"code","source":"# Display a sample\ndf_test.head()","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}