Notebooks and examples on how to onboard and use various features of Amazon Personalize

Sample data conversion pipeline for importing data into Amazon Personalize.

Sample use of Amazon Personalize for a recommender system for car searches

A sample web application for .NET developers that uses AWS, .NET Core, Amazon Personalize, and Amazon S3 to show how you can quickly and easily build a Movie Recommendations Engine.

The main code was copied from https://github.com/aws-samples/amazon-codewhisperer-immersion-day, and I made some personalized adjustments.

Amazon Personalize samples and POCs

Sample data creator for Amazon Personalize

Sample use of Amazon Personalize for a recommender system for car searches

This is a repo for the amazon personalize immersion day - preview before pushing to aws-samples

This is a repo that contains code to deploy a sample UI and infrastructure to stream events into an Amazon Personalize event tracker

ML-based E-Commerce Personalization Platform using UCI Online Retail dataset (~541k transactions). Features: K-means clustering, Isolation Forest (anomalies), Random Forest/NNs for churn/sales, Surprise recommenders, Thompson Sampling RL for optimization. Streamlit app; 15% simulated uplift. CS/ML portfolio project (Amazon). Sep 20-Oct 4, 2025.