Certificate in Model Performance Metrics & Best Practices
-- ViewingNowThe Certificate in Model Performance Metrics & Best Practices course is a comprehensive program designed to equip learners with the essential skills needed to assess and enhance the performance of machine learning models. This course is of utmost importance in today's data-driven world, where businesses rely heavily on accurate and efficient machine learning models to make critical decisions.
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โข Understanding Model Performance Metrics
โข Measures of Model Accuracy: Confusion Matrix, Precision, Recall, F1 Score
โข ROC Curve and AUC: Evaluating Classification Models
โข Regression Metrics: Mean Absolute Error, Mean Squared Error, R-squared
โข Cross-validation Techniques: K-fold Cross-validation, Stratified K-fold Cross-validation
โข Overfitting and Underfitting: Regularization Techniques (L1, L2)
โข Model Selection: Grid Search, Randomized Search
โข Monitoring Model Performance Over Time: Drift Detection, Model Retraining
โข Best Practices in Model Performance Metrics: Documentation, Communication, and Reporting
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