The go‑to Python toolkit for classical machine learning: classification, regression, clustering, dimensionality reduction, and robust preprocessing. Its strength is a consistent API plus Pipelines/ColumnTransformers, cross‑validation, hyperparameter search, and rich metrics - making experiments easy to reproduce and deploy. We use it for strong baselines, interpretable models, scoring and forecasting tasks, and for embedding ML components into business systems.