BUS-F 334 Applied FinTech

• 16 weeks
• 3 credits
• Prerequisite(s): BUS-F 370 or BUS-F 304 with a grade of C or higher

In this course, students will apply common machine learning techniques such as K-means, principal components, linear regressions, logistic regressions, LASSO, k-nearest neighbors, and decision trees to predict a range of financial outcomes. Students will learn to apply their knowledge through in-class programming assignments and larger projects.