STAT 454 - Statistical Learning & Data Science II

3 credits (Lec: 3 hrs.)

This course is designed to be a rigorous introduction to concepts in statistical learning, focusing on both supervised and unsupervised learning. Topics include linear modeling, non-linear modeling, principle component analysis, clustering methods, and using the statistical package R.

Pre-requisite: STAT 453