Tutorials and training material for the H2O Machine Learning Platform

H2O Tutorials

This document contains tutorials and training materials for H2O-3. If you find any problems with the tutorial code, please open an issue in this repository.

For general H2O questions, please post those to Stack Overflow using the “h2o” tag or join the H2O Stream Google Group for questions that don’t fit into the Stack Overflow format.

Finding tutorial material in Github

There are a number of tutorials on all sorts of topics in this repo. To help you get started, here are some of the most useful topics in both R and Python.

R Tutorials

• Intro to H2O in R
• H2O Grid Search & Model Selection in R
• H2O Deep Learning in R
• H2O Stacked Ensembles in R
• H2O AutoML in R
• LatinR 2019 H2O Tutorial (broad overview of all the above topics)

Python Tutorials

• Intro to H2O in Python
• H2O Grid Search & Model Selection in Python
• H2O Stacked Ensembles in Python
• H2O AutoML in Python

Most current material

Tutorials in the master branch are intended to work with the lastest stable version of H2O.

Historical events

Tutorial versions in named branches are snapshotted for specific events. Scripts should work unchanged for the version of H2O used at that time.

H2O World 2017 Training

H2O World 2015 Training

Requirements:

For most tutorials using Python you can install dependent modules to your environment by running the following commands.

# As current user
pip install -r requirements.txt

# As root user
sudo -E pip install -r requirements.txt

Note: If you are behind a corporate proxy you may need to set environment variables for https_proxy accordingly.

# If you are behind a corporate proxy
export https_proxy=https://<user>:<password>@<proxy_server>:<proxy_port>

# As current user
pip install -r requirements.txt

# If you are behind a corporate proxy
export https_proxy=https://<user>:<password>@<proxy_server>:<proxy_port>

# As root user
sudo -E pip install -r requirements.txt