scikit-learn

Why we included this project

Most Python teams doing predictive modeling start with scikit-learn. It provides a consistent set of estimators for classification, regression, clustering, and dimensionality reduction, all behind the same fit/predict interface, so you can swap algorithms without rewriting your pipeline. Because it is built on NumPy and SciPy, it stays lightweight and predictable, which makes it a sensible default for tabular data, feature engineering, and model evaluation. The documentation and worked examples are thorough enough that a new team member can go from install to a working baseline model in an afternoon. If your work is mostly structured data rather than images or text, this is the foundation you will likely build on.