GitHub repository: merrillm1/Olist_Recommender_System
Primary language: Jupyter Notebook
Description: Recommendation engine with a .97 AUC achieved using clustering techniques to create user features. Data represents Olist marketplace transactions and was retrieved from kaggle.com.