MARKET BASKET ANALYSIS

This project contains the code and data for performing Market Basket Analysis with the Apriori method. Apriori is a retail and e-commerce approach that identifies patterns and links between commonly purchased products.

Introduction

Market Basket Analysis is an important part of understanding customer behavior since it allows firms to optimize product positioning, marketing methods, and promotions. This repository includes a Python version of the Apriori technique for extracting association rules from a transaction dataset. #Requirements I installed the following to run the code in this repository: Pandas with NumPy in Python

Dataset

The dataset for this analysis is available in the data directory.

Algorithm

The apriori_algorithm.py script contains an implementation of the Apriori algorithm. The script's modular structure allows you to easily alter parameters like minimum support, confidence, and lift thresholds.

Results

The results of the Market Basket Analysis, including discovered association rules and support/confidence metrics, will be displayed.