70-467 Machine Learning for Business Analytics

9 units, Carnegie Mellon University

This course introduces students to the machine learning tools and software that drive modern predictive analytics in business settings. Students will gain an understanding of a variety of popular machine learning algorithms including linear and logistic regression, random forests, and neural networks. Each algorithm will be introduced with real-world business applications, and students will learn to implement these algorithms on data. The course is taught in the programming language R (prior programming experience is not required).

Prerequisites: (21-254 or 21-256 or 21-259) and (36-225 or 36-220 or 36-200 or 70-207)

Offered: Fall 2026, Fall 2025

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