Model Interpretability Basics

Day 19 of 100 Days of MLOps. 'The model said so' isn't good enough — for trust, debugging, fairness and often the law, you need to know why a model predicts what it does. Learn to open the black box with feature importances and permutation importance (model-agnostic), and see where SHAP fits for explaining individual predictions. Runs 100% locally on any OS.