raghavendra0827/market_basket_analysis

This project is a Market Basket Analysis App that analyzes customer purchase patterns to generate association rules and offer personalized product recommendations.

Market Basket Analysis App

Welcome to the Market Basket Analysis App project repository! 🛒

Project Overview

This project is a Market Basket Analysis App that analyzes customer purchase patterns to generate association rules and offer personalized product recommendations.

Key Features

• Interactive Interface: Users can view exclusive offers generated from market basket analysis results.
• Real-time Offers: Offers are dynamically generated based on association rules and user-selected metrics.
• Company View: Companies can view association rules and download them for further analysis (protected with a password).
• Item Images: Images of items are displayed alongside their names for better visualization.

How to Use

1. Clone the Repository: Clone this repository to your local machine using https://github.com/your_username/your_repository.git.
2. Install Dependencies: Install the required dependencies listed in requirements.txt using pip install -r requirements.txt.
3. Run the App: Execute the Streamlit web application by running streamlit run app.py in your terminal.
4. Add Customer Basket Items: In the sidebar, select new customer basket items and click "Add Items" to append them to the dataset.
5. View Exclusive Offers: Explore exclusive offers generated based on market basket analysis results.
6. Company View: Companies can view association rules by enabling the "View Association Rules" checkbox in the sidebar and entering the correct password.

About the Author

This Market Basket Analysis App is developed by Raghavendra KN, a passionate developer dedicated to creating innovative solutions using Python and data analysis.

Get in Touch

Feel free to connect with the author for any inquiries or feedback:

Acknowledgments

We extend our gratitude to the Python and Streamlit communities for their invaluable resources and support, enabling us to develop this Market Basket Analysis App.

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