Data Mining From Retail Transaction Data

• This repository contains a Jupyter notebook developed for the "Business Intelligence and Operational Research" course at Aristotle University of Thessaloniki.
• The notebook demonstrates data mining techniques applied to retail transaction data, including exploratory data analysis, association rule mining, and market basket analysis.
• The notebook serves as an example of how data mining techniques can be used to gain insights into customer behavior and inform business decisions.
• The dataset used in the notebook is publicly available and can be found in the repository.