Additional Resources

Algorithms

Supervised Learning

AutoML

Tutorial

Booklet

Reference

Tuning

Cox Proportional Hazards (CoxPH)

Tutorial

Booklet

Reference

Tuning

Deep Learning (DL)

Tutorial

Booklet

Reference

Tuning

Distributed Random Forest (DRF)

Tutorial

Booklet

Reference

Tuning

Generalized Linear Modeling (GLM)

Tutorial

Booklet

Reference

Tuning

Maximum R Square Improvements (MAXR)

Tutorial

Booklet

Reference

Tuning

Generalized Additive Models (GAM)

Tutorial

Booklet

Reference

Tuning

ANOVA GLM

Tutorial

Booklet

Reference

Tuning

Gradient Boosting Machine (GBM)

Tutorial

Booklet

Reference

Tuning

Naive Bayes

Tutorial

Booklet

Reference

Tuning

Stacked Ensembles

Tutorial

Booklet

Reference

Tuning

Distributed Uplift Random Forest (Uplift DRF)

Tutorial

Booklet

Reference

Tuning

XGBoost

Tutorial

Booklet

Reference

Tuning

Unsupervised Learning

Aggregator

Tutorial

Reference

Generalized Low Rank Models (GLRM)

Tutorial

Reference

K-Means Clustering

Tutorial

Reference

Isolation Forest

Tutorial

Reference

Principal Component Analysis (PCA)

Tutorial

Reference

Tutorials

H2O Tutorials

Use Case Examples

Examples

Chicago Crime Prediction

R

Python

ScalaSW

PySW

Airline Delays Prediction

R

Python

ScalaSW

PySW

Lending Club Load Prediction

R

Python

ScalaSW

PySW

Ham or Spam

R

Python

ScalaSW

PySW

Prediction with Prostate Dataset

R

Python

ScalaSW

PySW

Craigslist Job Titles

R

Python

ScalaSW

PySW

Security Features

Security Features for H2O-3

Productionizing H2O-3

Production Recipes for H2O-3

Contribute to H2O-3

Contributing

Have any questions?

Reach out to the team on Stack Overflow or Gitter! Be sure to tag your Stack Overflow questions with h2o.

We recommend posting your question to Stack Overflow first. If you have a non-technical question that can’t be answered on SO, then try reaching out to Gitter with your question.