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.

GitHub
673 stars
42 watching
207 forks
Language: Jupyter Notebook
last commit: 4 months ago
Linked from 2 awesome lists

accountabilitydata-miningdata-sciencedecision-treefairnessfatmlgradient-boosting-machineh2oimlinterpretabilityinterpretableinterpretable-aiinterpretable-machine-learninginterpretable-mllimemachine-learningmachine-learning-interpretabilitypythontransparencyxai

Backlinks from these awesome lists: