food mart analysis

This project analyzes the FoodMart dataset, performs preprocessing, visualization, and builds predictive models using Simple and Multiple Logistic Regression to understand home delivery service behavior. It also applies K-Medoids and Hierarchical Clustering to explore store patterns.