Learning H20.ai

Course details

The H2O.ai platform is like nothing you’ve ever seen. It offers a wide variety of solutions and services that make it easier to manage, deploy, govern, and monitor machine learning models in production. In this course, instructor Janani Ravi offers you an overview of how to get started using some of the most basic features of H20.ai.

Discover the essentials of the H20 AI Cloud platform, visualizations and insights with H20 Autoinsights, and predictive analytics with H20 Driverless AI and the H20 Python API. Find out why everyone’s talking about the power of H20.ai, which delivers the power of endless solutions on a single, safe, collaborative platform.

Concepts

0. Introduction

01 - An overview of H2O

1. Introducing H2O.ai

02 - Prerequisites
03 - H2O.ai platform
04 - H2O.ai offerings and architecture
05 - Signing up for the H2O.ai free trial
06 - Exploring the H2O.ai cloud platform

2. Visualizations and Insights with H2O AutoInsights

07 - Summarizing data using H2O auto insights
08 - Customizing insights
09 - Automated insights with H2O auto insights
10 - Text analysis on customer reviews using auto insights
11 - Time series analysis using auto insights
12 - Summarizing tweet sentiment data
13 - Analyzing tweet sentiment data

3. Predictive Analytics with H1O Driverless AI

14 - Data transformation using Driverless AI
15 - Visualization using Driverless AI
16 - Data splitting and experiment configuration
17 - Train interpret and evaluate a regression model
18 - Training model with leakage removed

4. Predictive Analytics with the H2O Python API

19 - Install the H2O Python module
20 - Initializing the H2O cluster and loading data
21 - Missing value imputations and data type conversions
22 - Training a generalized linear estimator for binary classification
23 - Configuring parameters for a generalized linear estimator
24 - Training a random forest model with balanced classes

Conclusion

25 - Summary and next steps

Learning H20.ai

Authors

Janani Ravi