Model Evaluation & Optimization

Beginner

€20

12 lessons

Develop skills to assess model performance using cross-validation, select appropriate metrics, tune hyperparameters, and prevent overfitting to ensure models generalize well.

Model Evaluation

Cross-Validation

Hyperparameter Tuning

Overfitting

Performance Metrics

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Lessons

Data Splitting: Train, Validation, & Test Sets

45 min

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Cross-Validation Strategies: K-Fold & Stratified

45 min

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Regression Performance: RMSE, MAE, & R-squared

45 min

Model Evaluation & Optimization

Lessons

Data Splitting: Train, Validation, & Test Sets

Cross-Validation Strategies: K-Fold & Stratified

Regression Performance: RMSE, MAE, & R-squared

Model Evaluation & Optimization

Lessons

Data Splitting: Train, Validation, & Test Sets

Cross-Validation Strategies: K-Fold & Stratified

Regression Performance: RMSE, MAE, & R-squared

Classification Performance: Precision, Recall, & F1

Hands-On #1

Quiz #1

Bias-Variance Tradeoff: Diagnosing Model Fit

Hyperparameter Optimization: Grid & Random Search

Regularization Techniques: L1, L2, & Elastic Net

Final Model Selection: Best Practices

Hands-On #2

Quiz #2