Introduction to Statistical Learning

Catalog description

Using different statistical methods to identify hidden patterns in datasets and make statistically accurate data-driven predictions. Contents include linear and polynomial regression, model selection and regularization, classification methods like logistic regression, linear and quadratic discriminant analysis, principal component analysis, clustering methods, deep learning (if time permits).