{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Solution of ASHRAE - Great Energy-by-lightwave-wang   Top 5%"},{"metadata":{},"cell_type":"markdown","source":"Contest  [ASHRAE - Great Energy](https://www.kaggle.com/c/ashrae-energy-prediction)"},{"metadata":{},"cell_type":"markdown","source":"Exploratory data analysis [EDA](https://www.kaggle.com/findyou/ashrae-great-energy-eda-lightwave-wang)"},{"metadata":{},"cell_type":"markdown","source":"`EDA include:` \n* checking missing data<br>\n* checking outlier data and abnormal data<br>   \n* Data distribution diagram<br>\n* checking timestamp \n* Missing values fill the exploration\n* and so force"},{"metadata":{},"cell_type":"markdown","source":"`final scheme` "},{"metadata":{},"cell_type":"markdown","source":" <img src=\"https://s1.ax1x.com/2020/05/10/Y1xfvF.png\"  width=\"620\"/>"},{"metadata":{},"cell_type":"markdown","source":"Two lightGBM [code](https://www.kaggle.com/findyou/clean-and-divide-half-by-month?rvi=1)"},{"metadata":{},"cell_type":"markdown","source":"separte modeling and simple data clean baseline [code](https://www.kaggle.com/findyou/clean-up-separate-modeling-lightwave-wang)"},{"metadata":{},"cell_type":"markdown","source":""},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"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":"3.7.4"}},"nbformat":4,"nbformat_minor":4}