interpretable_machine_learning_with_python
by jphall663 (personal account)
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security. (description from the project’s GitHub page)
Repository facts
- Stars
- 681
- Forks
- 206
- Open issues and pull requests
- 2
- Primary language
- Jupyter Notebook
- License
- No license file detected
- Owner
- jphall663 · Personal account
- Created
- Mar 14, 2018
- Last push
- Jun 17, 2024
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