Certificate in Model Evaluation & Performance Metrics
-- ViewingNowThe Certificate in Model Evaluation & Performance Metrics course is a powerful program designed to equip learners with essential skills in model evaluation and performance analysis. In today's data-driven world, these skills are in high demand across industries, as organizations seek to make informed decisions based on accurate and reliable models.
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โข Model Evaluation Metrics Overview
โข Regression Metrics: Mean Absolute Error, Mean Squared Error, R-squared
โข Classification Metrics: Accuracy, Precision, Recall, F1 Score
โข ROC Curve and AUC: Concept and Importance
โข Cross-validation Techniques: K-fold Cross-Validation, Stratified K-fold Cross-Validation
โข Confusion Matrix: Components and Analysis
โข Performance Metrics for Imbalanced Datasets: Precision-Recall Curve, Specificity
โข Model Selection Criteria: Bias-Variance Tradeoff, Overfitting and Underfitting
โข Evaluation Dashboards and Visualization Tools
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