This repository contains materials for the MSCA 31008 Data Mining Principles Team Project.
Professor: Dr. Utku Pamuksuz
Team:
Data Set:
In this project, there are six datasets describing customer’s orders over time, which contain a sample of over 3 million grocery orders from more than 200,000 Instacart users. These datasets were sourced from Kaggle. (https://www.kaggle.com/c/instacart-market-basket-analysis/data)
Project Description:
Instacart is a hot American tech company that operates same-day delivery and pick-up services by sending a “personal shopper” to fulfill customer’s orders. For this project, we:
- Predict which products a customer will buy again using transactional data using multiple machine learning models
- Recommend the bundles of products to customers through Apriori Algorithm
- Segment out customers based on purchase activity through KMeans