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Exploring H2O.ai AutoML

By Varun Kruthiventi |  May 15, 2018  | H20, Machine Learning, Auto ML, ML, Data Science, featured
The short time I have spent on Kaggle, I have realized ensembling (stacking models) is the best way to perform well. Well, I am not the only one to think so !! Stacking is a Model Ensembling technique that combines predictions from multiple models and generates a new model. I am gonna write a new post on model ensembling 🙂 I have experimented with multiple ensembling techniques and made a model with XGboost, LightGBM, and Keras for Zillow Zestimate problem which did perform well.
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