Supervised Machine Learning

Prerequisites: MSBA students only. This course provides students with practical skills in performing hands-on analytics on real-world datasets predominantly gathered through digital interactions. Students will learn to apply supervised machine learning techniques to analyze this data, using the Python programming language. The course includes a series of lectures and in-class exercises designed to help students derive actionable recommendations from their analyses and effectively present their findings. The goal of the course is to foster a deep understanding of popular supervised machine learning methods and to illustrate the types of business problems to which these techniques can be effectively applied.