ENEL 865

Topics include regression (linear regression with multiple features, nearest neighbors and kernel regression, ridge regression and lasso), classification (linear classifiers, logistic regression, decision trees, boosting), clustering, dimensionality reduction, overfitting & regularization, feature selection, and performance evaluation. Implementation of these concepts in practical applications is the primary focus of this course.