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Professor Py: AI Foundations
XGBoost in Python: Build a Strong Tabular Baseline
Build a fast, strong XGBoost baseline in Python for tabular classification that’s hard for neural nets to beat. Get a compact, repeatable workflow that delivers quick accuracy, AUC, feature importance, early stopping, and a cross-validated baseline to compare models. Hands-on code uses XGBoost with NumPy and scikit-learn (roc_auc_score ...
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