Python & Machine Learning: Build a Movie Recommendation Engine

Date TBA

Advance sign-up is required, and access is limited to the Primary Badge type listed. Please locate the RSVP button to reserve your spot.

Ever wonder how Netflix made that recommendation that led you to binge watch Ozark all weekend? Are they mind readers or is it smart algorithms?

Join General Assembly instructors for an interactive workshop where you’ll learn how recommendation engines work. This will involve a little bit of linear algebra. Don’t worry if you’re new to the subject; we’ll cover the basics! We will then build a movie recommendation engine using pandas, scikit-learn and the famous MovieLens dataset.

Attendees should have intermediate experience coding in Python; must know how to start up a Jupyter Notebook & be familiar with the pandas and scikit-learn libraries. A laptop is required w/ the latest version of Anaconda installed. You can download it for free:

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

Riley Dallas

General Assembly

Katie Sylvia

General Assembly

This event will be in person


Primary Entry:
Platinum Badge
Interactive Badge
Secondary Entry:
Music Badge
Film Badge





Tech Industry track sponsored by Norton