The objective of this project is to build a recommender engine with AWS SageMaker. The main goal is to recommend the top 20 movie selection to users that are clustered by preference similarities.
For the “A Cloud Guru — Machine Learning Challenge” proposed by Kesha Williams, ML enthusiasts are tasked to implement the following architecture:
The details of this challenge can be found here:
We chose to work with the MovieLens dataset that was downloaded from www.grouplens.org
More specifically we used movies.csv and ratings.csv from the ml-latest-small.zip file and uploaded it to our AWS S3 bucket. We are working with…
Entrepreneur, Tech Enthusiast & Musician.