Kaggle House Prices: Advanced Regression Techniques
Predict sales prices and practice feature engineering, RFs, and gradient boosting.
Code:
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.
Submission:
The best score so far is 0.11938.
note.md This file contains some detailed notes about feature engineering and ensemble learning