Introduction_to_Machine_Learning

Why we included this project

This is the full open courseware from Sharif University of Technology's machine learning course, not just a single tutorial or a handful of notebooks. It packs a whole semester into slide decks, chapter-by-chapter Jupyter notebooks, and exercise sets that walk through supervised and unsupervised learning in sequence. Someone studying alone can work through the notebooks for hands-on practice, and instructors can lift the slides and assignments for their own classes as long as they cite the source. The archives from earlier semesters are a nice touch if you want to see how the course has changed over the years. For Persian speakers, the linked class videos and companion site round it out into a ready-made curriculum.