market_basket_apriori

Market Basket Analysis using Apriori Algorithm

This project applies the Apriori algorithm to perform Market Basket Analysis.

It uncovers hidden associations and frequent itemsets in transactional datasets, helping businesses make better product placement and cross-selling decisions.

Key Features:

Association Rule Mining using Apriori

Support, Confidence, and Lift metrics

Analysis of frequent product combinations

Tools & Libraries:

Python

mlxtend

Pandas

Sample Use Case:

Determine which products are frequently purchased together in a retail environment.

How to Run:

Install required libraries:

pip install mlxtend pandas