Learn Data Balancing, Hyperparameter Tuning with Grid Search and Random Search, ML model evaluation, ML Performance Metrics, measure of performance of Classification Models, Confusion metrics, Accuracy, Precision, Recall (Sensitivity), Specificity, F-Measures, F1 score, ROC curves, AUC and Cross Validation.
