Predictive Modeling and Machine Learning. (3-0) 3 Credit Hours

Catalog description

This advanced course is designed to equip students with advanced analytical tools and techniques used in modern business decision-making. This course covers the fundamental principles of predictive modeling, machine learning algorithms, and their applications in various business scenarios. Students will explore supervised and unsupervised learning, regression models, decision trees, neural networks, and ensemble methods, emphasizing utilizing these techniques to identify patterns, forecast trends, and make data-driven decisions. Practical applications and case studies are used to demonstrate real-world business solutions, enhancing strategic thinking and analytical skills. This course has Differential Tuition.