K-Nearest Neighbors (KNN) is a simple yet powerful supervised learning algorithm used for classification and regression tasks. It works by finding the k nearest data points to a given input and making ...

Modeling Started with a baseline KNN model (k = 4). Used grid search with 5-fold cross-validation to tune n_neighbors and the distance metric.