Want to know how Spotify, Amazon, and Netflix generate recommendations for their users? In this introductory workshop, we'll learn how to build collaborative filtering and content-based filtering recommender systems using the MovieLens dataset.

We'll be using these packages to do our analysis:

• pandas
• numpy
• matplotlib
• seaborn
• scikit-learn
• fuzzywuzzy

In this repo, you'll find two notebooks:

1. tutorial: the original notebook with solutions
2. tutorial_walkthrough: fill-in-the-blank notebook (use this one to follow along during the live tutorial)

Workshop slides can be found here.

There are two options for setting up your environment:

1. On your local machine
2. On the cloud using Google Colab (create a duplicate of this notebook)

If you're relatively new to Python and programming, we highly recommend starting with the cloud option which doesn't require any setup. The only requirement is a Gmail account.

If you decide to run the tutorial on your local machine, make sure that your environment is running on Python 3.6+ and has Jupyter notebook installed.