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Classroom Contents
Develop Test Suites for Machine Learning Models and Data with Deepchecks
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- 1 - Video start
- 2 - Lab Intro
- 3 - When to use Deepchecks
- 4 - Getting started
- 5 - Test Suite Functions
- 6 - Integration in ML Pipeline
- 7 - Data Validation Tests
- 8 - Individual test setup
- 9 - Test result HTML
- 10 - Data Distribution Tests
- 11 - Data Distribution Tests 2
- 12 - Writing custom tests
- 13 - Model analysis and validation tests
- 14 - Random Forest classifier model tests
- 15 - Gradient Boosting Classifier model tests
- 16 - Code push to GitHub
- 17 - Lab Recap
- 18 - Credits
