Build a Movie Recommendation Engine in Python

Advance RSVP is available to Primary Entry badge types only. Walk-ups may be accepted on a first come, first served basis.

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

Join General Assembly instructors for an interactive workshop where we will 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 all the basics.

We will then build a movie recommendation engine using pandas, scikit-learn and the famous MovieLens dataset.

- A laptop is required for this workshop with the latest version of Anaconda (Python 3.7) installed. You can download it for free here:
- Attendees should have intermediate experience with coding in Python; must know how to start up a Jupyter Notebook; must be familiar with the pandas and scikit-learn libraries

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

Primary Entry: Platinum Badge, Interactive Badge
Format: Workshop
Event Type: Session
Level: Advanced