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- Level: Beginner
- Duration: 01h 26m 20s
- Release date: 2021-02-04
- Author: Niraj Joshi
- Provider: Pluralsight
Getting Started with H20.ai
Description
Content
This course will familiarize you with different recipes of H2O’s Driverless AI. You'll learn to build a fully automated ML pipeline, with built-in feature engineering, feature transformations, automatic visualizations, and inference mechanisms.
- Course Overview01m
- Course Overview01m
- Onboarding Datasets to H2O Driverless AI15m
- Introduction to the Course03m
- Introduction to Driverless AI02m
- Driverless Pipeline02m
- Demo: Installation of H2O Driverless AI05m
- Demo: Ingest Data to Driverless AI03m
- Summary00m
- Visualizing Data Patterns Based on Input Features14m
- Introduction to Automatic Visualization03m
- Features of Automatic Visualization02m
- Demo: Automatic Visualization on Credit Card Dataset09m
- Summary00m
- Implementing Feature Engineering and Transformations15m
- Introduction to Feature Engineering and Built-in Recipes03m
- Feature Importance and Feature Engineering03m
- Demo: Built-in Recipes05m
- Demo: Upload Custom Recipe04m
- Summary00m
- Predicting the Results from Trained Models18m
- Introduction to Training Knobs02m
- Ensemble Levels03m
- Demo: Experiment with Default Knob Settings07m
- Demo: Experiment with Custom Knob Settings06m
- Summary00m
- Analyzing Predicted Results Based on Parameter Tuning23m
- Introduction to Scoring Techniques04m
- Machine Learning Interpretability04m
- Demo: Machine Learning Interpretability11m
- Demo: Model Inference03m
- Summary01m
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