Creating Machine Learning Ensembles for Kaggle Competitions

Learn to ensemble a variety of models for Kaggle using my Kaggle utilities. Ensembling models together is one of the key strategies of Kaggle. This allows strengths in one model to overcome weaknesses in another. This is part of a series where I will discuss some techniques for placing in the top 10% that I’ve used in two Kaggle competitions using just a laptop and no cloud. I made use of Python, Scikit-Learn, XGBoost, and TensorFlow. I will also be covering some of the Python code that I used.

My Kaggle Playlist: https://bit.ly/2Evax1Q
My Kaggle GitHub Utilities: https://github.com/jeffheaton/jh-kaggle-util
My Kaggle profile: https://www.kaggle.com/jeffheaton

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