Automated Machine Learning with H2O AutoML

Hyperparameter tuning aims to select the best model from among a set of candidate models. H2O AutoML automatically cycles through a variety of model types and presents the best one, as well as performs feature engineering and makes it easy for non-ML engineers to use.In this course, learn how to use H2O AutoML to streamline the process of building machine learning models. Next, discover how to use H2O AutoML for a regression problem and how it tunes multiple models automatically. Finally, explore model interpretation with H2Os explain function and use it to identify and interpret feature importances.After completing this video, you will be able to automate machine learning with H2O AutoML.