tabisheva / interpretable-ml

Article on the interpretability of ML models

Interpretable Machine Learning

Here we're discovering the ways to interpret machine learning models based on this book.

Authors

• Natasha Dobrokhotova-Maykova (math, text, experiments and plots)
• Nastia Tabisheva (datasets preprocessing, experiments and plots)
• Lev Khoroshansky (text review and corrections, web application deployment)