interpretable_machine_learning_with_python
by jphall663
Jupyter Notebookpushed over 2 years ago
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
AI summary
ML model transparency
Teaching software developers how to build transparent and explainable machine learning models using Python
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