Applied Machine Learning

Catalog description

This course provides a hands-on introduction to applied machine learning techniques using Python in business contexts. Students will develop the ability to preprocess data, train supervised and unsupervised models, evaluate performance metrics, and communicate results for organizational decision-making. Students will complete interactive labs and projects that emphasize the application of ML methods such as regression, classification, clustering, and neural networks to solve real-world business problems. Ethical considerations and responsible AI use are embedded throughout.