predictive-analytics

Guides applied predictive analytics for business—target and leakage framing, tabular feature engineering, regression and classification models (baselines, boosting, regularized linear), validation splits and metrics, calibration and cost-sensitive thresholds, practitioner explainability (importance, SHAP), drift monitoring concepts, and uncertainty comms. C…

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