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:

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The details of this challenge can be found here:

Environment and tools

We chose to work with the MovieLens dataset that was downloaded from

More specifically we used movies.csv and ratings.csv from the file and uploaded it to our AWS S3 bucket. We are working with…

Marc-Henry Saint-Félix

Entrepreneur, Tech Enthusiast & Musician.

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