After I finished the Home Depot competition, I wrote a summary as a beginners' guide to Kaggle. It got retweeted by Kaggle's official account.
In this repo you can find details about how I preprocessed the dataset, constructed features, trained different models and finally built the stacked ensemble. Main files are features.ipynb and ensemble.py.
Feel free to suggest how to improve it!