AlphaUncommon
jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
- Owner
- jphall663 (personal account)
- Stars
- Stars: 682
- Forks
- Forks: 206
- Language
- Jupyter Notebook
- License
- None
- Created
- 2018
- Topics
- machine-learningpythonfatmlxaigradient-boosting-machinedecision-treedata-sciencefairnessinterpretable-machine-learninginterpretability
- Tier
- Alpha (250 to 699 ★) What this tier means
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