scikit-learn-central

This skill should be used whenever the user asks about machine learning with Python, scikit-learn, skrub, skore, tabular data pipelines, model selection, cross-validation, feature engineering, preprocessing, or any ML use case such as fraud detection, churn prediction, pricing models, sentiment analysis, anomaly detection, or survival analysis. Also trigger when the user is building a sklearn Pipeline, debugging an estimator, choosing between algorithms, evaluating a model, or working with dirty/heterogeneous tabular data. If there is any doubt, trigger this skill.