MACHINE LEARNING FOUNDATIONS

Catalog description

This course introduces traditional Machine Learning (ML) algorithms, covering supervised, unsupervised, and reinforcement learning, feature selection and management, and model evaluation. Practical applications of these algorithms to real-world scenarios are explored throughout the course.