Predict sales prices and practice feature engineering, RFs, and gradient boosting.
baseline: A runable code, that contains basic EDA, some data cleaning and some feature engineering; make sure pne could submit the file to kaggle with no errors.
Modling and feature engineering: this file contains more detailed code about data cleaning, feature engineering, feature crossing, model selection, hyperparameter tuning, model ensemble, model stacking.
The best score so far is 0.11938.
note.md This file contains some detailed notes about feature engineering and ensemble learning