2025-2026 Undergraduate Catalog > Course Descriptions > DATA - Data Science > 400 > DATA 420
This course introduces the theoretical underpinnings of common machine learning algorithms and their implementation within using field standard software packages. It will focus on these algorithms' application to a variety of classification, regression, and clustering tasks using real data. Pre-requisite(s): DATA 320 or DATA 330
Lecture Credits: 3