CSCI 349. Applied Machine Learning. 1 Credit.
Offered Occasionally; Lecture hours:3
Advanced, hands-on course covering the full data science pipeline—from data preparation to model development and visualization—using industry-standard Python tools. Emphasizing supervised learning, foundational unsupervised methods, ethical considerations and responsible AI, students build practical ML skills to solve real-world challenges, including effective communication. Prerequisites: CSCI 311 and (MATH 216 or STAT 216 or MATH 226 or MATH 227 or STAT 227).