Building Recommendation Engines with PySpark

  • flag Datacamp
  • student All Levels
  • database video
  • earth English
  • clock 4h


Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Covered topics:

  • Big Data with PySpark


This course will show you how to build recommendation engines using Alternating Least Squares in PySpark. Using the popular MovieLens dataset and the Million Songs dataset^ this course will take you step by step through the intuition of the Alternating Least Squares algorithm as well as the code to train^ test and implement ALS models on various types of customer data.