MSBA 540 - Machine Learning for Business Applications

Description: Hours: Three hours lecture per week Description: Machine Learning for Business Applications is a fundamental course designed to equip students with the knowledge and skills needed to apply machine learning techniques to solve real-world business problems. This course focuses on essential topics such as linear regression, logistics regression, k-nearest neighbors, unsupervised learning (Principal Components and Clustering Methods), model and variable selection, and nonlinear prediction methods. Students will gain hands-on experience in implementing machine learning algorithms and interpreting their results within the context of business analytics.

Units: 3.00

Grading: Letter Grade