datacamp

Building Recommendation Engines with PySpark


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

About

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

Covered topics:

  • Big Data with PySpark

Description

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.