Professional Certificate in Model Performance Metrics Essentials
-- ViewingNowThe Professional Certificate in Model Performance Metrics Essentials is a comprehensive course that equips learners with the indispensable skills required to evaluate and improve machine learning models' performance. This program is crucial in today's data-driven world, where businesses rely on accurate and efficient models to make informed decisions.
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โข Model Accuracy Metrics
โข Regression Metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R-squared
โข Classification Metrics: Confusion Matrix, Accuracy, Precision, Recall, F1 Score, ROC Curve, AUC
โข Cross-validation Techniques: K-Fold Cross-Validation, Stratified K-Fold Cross-Validation
โข Handling Imbalanced Datasets: Oversampling, Undersampling, SMOTE
โข Model Selection Metrics: Fit Score, Score Method, GridSearchCV, RandomizedSearchCV
โข Performance Monitoring: Training and Testing Splits, Time Series Analysis, Model Drift
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