This repo contains a data science project I did with a group of classmates to analyze Instacart consumer behavior. The objective was to get more hands-on experience with techniques including K-means clustering, Principal Components Analysis, and market basket analysis. I was specifically focused on the K-means clustering aspect of the analysis, which was compared against PCA. This project was inspired by this Instacart Kaggle competition done a few years earlier: https://www.kaggle.com/c/instacart-market-basket-analysis/overview
Co-authors of this project: Kexin Wang, Susannah Schulze