Month 19: Model Evaluation and Validation

Week 1: Introduction to Model Evaluation and Validation

• Overview of Model Evaluation and Validation
• Types of Model Evaluation Metrics
• Bias and Variance Trade-off

Week 2: Cross-Validation Techniques

• K-Fold Cross-Validation
• Stratified K-Fold Cross-Validation
• Leave-One-Out Cross-Validation
• Monte Carlo Cross-Validation

Week 3: Performance Metrics for Classification Models

• Confusion Matrix
• Precision, Recall, and F1 Score
• ROC Curve and AUC
• Calibration Curve

Week 4: Performance Metrics for Regression Models

• Mean Squared Error (MSE)
• Root Mean Squared Error (RMSE)
• Mean Absolute Error (MAE)
• R-squared