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Learning H20.ai

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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.

This course was created by Loonycorn. We are pleased to host this content in our library.


01 - Introduction
  • 01 - An overview of H2O

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

  • 03 - 2. Visualizations and Insights with H2O AutoInsights
  • 01 - Summarizing data using H2O auto insights
  • 02 - Customizing insights
  • 03 - Automated insights with H2O auto insights
  • 04 - Text analysis on customer reviews using auto insights
  • 05 - Time series analysis using auto insights
  • 06 - Summarizing tweet sentiment data
  • 07 - Analyzing tweet sentiment data

  • 04 - 3. Predictive Analytics with H1O Driverless AI
  • 01 - Data transformation using Driverless AI
  • 02 - Visualization using Driverless AI
  • 03 - Data splitting and experiment configuration
  • 04 - Train interpret and evaluate a regression model
  • 05 - Training model with leakage removed

  • 05 - 4. Predictive Analytics with the H2O Python API
  • 01 - Install the H2O Python module
  • 02 - Initializing the H2O cluster and loading data
  • 03 - Missing value imputations and data type conversions
  • 04 - Training a generalized linear estimator for binary classification
  • 05 - Configuring parameters for a generalized linear estimator
  • 06 - Training a random forest model with balanced classes

  • 06 - Conclusion
  • 01 - Summary and next steps
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