KNN Fundamentals
Foundational mechanics of K-Nearest Neighbors, lazy learning, geometric distance metrics, and the bias-variance tradeoff.
Practical KNN & Feature Scaling
The critical importance of normalization, mitigating the curse of dimensionality, tree-based neighbor search, and pipeline deployment.