90-803 Machine Learning Foundations with Python

12 units, Carnegie Mellon University

This course equips students with the skills to build, evaluate and deploy machine learning models using Python. Emphasis is placed on feature engineering, supervised and unsupervised learning, model selection and common data handling and analysis practices. Students will complete quizzes, a capstone project using real-world datasets and a take a final exam.

Prerequisites: (90-819 (min B) or 95-888 (min B)) and (90-707 (min B) or 90-711 (min B) or 95-796 (min B)) and 90-800 (min B)

Offered: Spring 2027, Spring 2026

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