Table of Contents
Preface
Part: 1H2O AutoML Basics
1
Understanding H2O AutoML Basics
Technical requirements
Understanding AutoML and H2O AutoML
AutoML
H2O AutoML
Minimum system requirements to use H2O AutoML
Installing Java
Basic implementation of H2O using Python
Installing Python
Installing H2O using Python
Basic implementation of H2O using R
Installing R
Installing H2O using R
Training your first ML model using H2O AutoML
Understanding the Iris flower dataset
Model training
Summary
2
Working with H2O Flow(H2O’s Web UI)
Technical requirements
Understanding the basics of H2O Flow
Downloading and launching H2O Flow
Exploring H2O Flow
Working with data functions in H2O Flow
Importing the dataset
Parsing the dataset
Observing the dataframe
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