Phase 1: Core Concepts & Traditional ML - Model Evaluation & Overfitting

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Model Evaluation & Overfitting

• Show metrics (accuracy, precision, recall, F1, ROC)
• Implement cross-validation
• Regularization (L1/L2)
• Demo on overfitting vs. generalization