Machine Learning

Catalog description

This course will introduce the fundamental concepts, algorithms, and applications of machine learning. Students will learn about supervised, unsupervised, and reinforcement learning models, along with techniques for data preprocessing, model evaluation, and implementation. Practical sessions will include hands-on exercises with real-world datasets to design, train, and optimize machine learning models.