Supervised Learning: From Zero to a Professional Project

A complete, progressive path from the basic vocabulary to a model in production. Problem framing, data preparation, classification and regression algorithms, metrics and business costs, leak-proof pipelines, interpretability, deployment and monitoring — with hands-on labs throughout.