Introduction

Objective

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.

Context

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 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…

Marc-Henry Saint-Félix

Entrepreneur, Tech Enthusiast & Musician.

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