This repository contains an implementation of the Apriori algorithm for Market Basket Analysis, a technique used by retailers to understand customer purchase behavior and optimize product recommendations. The implementation is written in Python under Jupyter NB and can be used to identify frequently occurring itemsets and generate association rules based on a given dataset of customer transactions.
Dataset is made available for open use.