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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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