H2O Machine Learning Tutorial

This tutorial was created for the 2019 Latin R Conference in Santiago, Chile. 🇨🇱

Part 1: Intro to H2O Machine Learning

• Basic data pre-processing
• Introduction to supervised machine learning in H2O

Part 2: Optimizing Model Performance

• Grid Search
• Stacked Ensembles
• Automatic Machine Learning (AutoML)

You can view the HTML version of the RMarkdown tutorial (with output) here.