ISE 529 Predictive Analytics

Units: 4
Terms Offered: FaSp

Supervised learning. Linear regression, cross validation, ridge and lasso regression, logistic regression, k-nearest-neighbors, decision trees, random forest and gradient-boosting models, support vector machines, neural networks.
Recommended Preparation: Undergraduate statistics on the level of ISE 225; working knowledge of a programming language on the level of ISE 150
Instruction Mode: Lecture
Grading Option: Letter

Crosslisted as DSCI 561