Statistical Learning and Predictive Modeling

3 credits

Selected topics and techniques in statistical learning and predictive modeling, including linear models, logistic regression models, regression trees, classification models and statistical software. ***Prerequisite: MATH 122, STAT 252, and one of CS 110, CS 165, or STAT 165.*** *Note: Students can receive credit for only one of ACSC 300 and STAT 300.*