BUA 420 Machine Learning

Spring

This course introduces fundamental machine learning methods used in business analytics and data-driven decision making. Students learn key techniques such as classification, neural networks, regression, clustering, and model evaluation, with an emphasis on practical implementation using Python. Through applied exercises and real-world case examples, students gain the ability to build, interpret, and apply predictive models to support analytical and organizational insights.

3 credit hours