This course provides a comprehensive introduction to the field of machine learning. It covers key concepts, algorithms, and applications, including supervised and unsupervised learning. Students will learn how to build and evaluate machine learning models and understand the theoretical underpinnings of the techniques used. Practical exercises and real-world examples help reinforce the material.