Market Basket Analysis using Apriori Algorithm

This repository contains Python code for performing Market Basket Analysis using the Apriori Algorithm. It provides insights into customer purchasing behavior, which can be valuable for retail and e-commerce businesses.

Introduction

Market Basket Analysis is a data mining technique used to uncover associations between products purchased together by customers. The Apriori Algorithm is commonly used for this task as it efficiently identifies frequent itemsets and association rules from transaction data.

Contributors

• Nafisa Lawal Idris

How to Contribute

Contributions are welcome! To contribute to this project:

1. Fork the repository
2. Make your changes
3. Submit a pull request

Usage

To use this code for Market Basket Analysis:

1. Clone the repository:

   git clone https://github.com/nafisalawalidris/Market-Basket-Analysis-using-Apriori-Algorithm.git
   
   

License

This project is licensed under the MIT License.

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