MATH 325 Statistical Modeling
Students will learn about supervised and unsupervised learning (K-Means Clustering). They will be able to assess model accuracy. Students will be able to perform classification, in particular they will learn about Generative Models for Classification and Generalized Linear Models GLMs. Students will be able to perform Cross-Validation: Training and Test Set. Students will be able to make variable selection by applying Ridge or LASSO Regression.