66. K-Means Clustering: Find Groups Without Labels

This content explains K-Means Clustering, an unsupervised learning method for finding groups in unlabeled data. It details the step-by-step algorithm, key concepts like centroids and inertia, and methods for picking the optimal number of clusters (K).