Machine Learning for Business Analytics. (3-0) 3 Credit Hours

Catalog description

This course explores the application of machine learning techniques to solve complex business problems. Students will learn to use various machine learning algorithms, such as regression, classification, clustering, neural networks, and ensemble methods, to analyze large datasets and uncover actionable insights. Emphasis is placed on understanding the practical implications of these techniques in a business context, including model evaluation, selection, and optimization. Through hands-on projects and case studies, students will develop the skills to apply machine learning to real-world business scenarios, enhancing their ability to make data-driven decisions. This course has Differential Tuition.