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Overview
This course will familiarize you with different recipes of H2Os Driverless AI. You'll learn to build a fully automated ML pipeline, with built-in feature engineering, feature transformations, automatic visualizations, and inference mechanisms. Would you like to build end to end ML Pipelines using H2O Driverless AI? In this course, Getting Started with H2O.ai, youll learn to do ML predictive modelling using built-in classification/regression algorithms. First, youll explore how to pull in data sets from multiple sources like S3,...
Syllabus
- Course Overview 1min
- Onboarding Datasets to H2O Driverless AI 15mins
- Visualizing Data Patterns Based on Input Features 14mins
- Implementing Feature Engineering and Transformations 14mins
- Predicting the Results from Trained Models 18mins
- Analyzing Predicted Results Based on Parameter Tuning 22mins
Instructor
Niraj Joshi
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