Ten hours of machine-learning fundamentals with Python — regression, classification, clustering, model evaluation — built around scikit-learn and real datasets. Broad enough to be a curriculum and practical enough to produce working models.
Editorial review dimensions (1–5), assigned by LearnPath editors — not a computed score. Last reviewed 2026-09-12.
What you walk away with
Train and evaluate supervised models
Explain bias/variance, overfitting and cross-validation