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: https://www.anaconda.com/download/