CSC 133: Introduction to Machine Learning

This course provides a foundational understanding of machine learning concepts, algorithms, and practical implementation. Students explore supervised and unsupervised learning techniques including regression, classification, and clustering. Topics involve the use of industry-standard frameworks such as scikit-learn. Hands-on projects using real-world datasets reinforce theoretical concepts throughout the course.