Machine Learning Fundamentals

Machine Learning Fundamentals. Introduces supervised, unsupervised, and reinforcement learning, then walks through regression, classification, and clustering algorithms using scikit-learn. It also covers model evaluation, feature engineering, and building complete ML pipelines, giving you a genuine foundation rather than just buzzwords.