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.