MSAN 621

Introduction to Machine Learning

This course focuses on the implementation and application of supervised and unsupervised machine learning algorithms using Python and related libraries. Students learn to properly select features and evaluate model accuracy. Models include at least kNN, naive Bayes, random forests, and clustering.

Restriction: Level Restricted to Graduate; Field of study restricted to Analytics Major