Retail Customer Segmentation Project

Table of Contents

Overview

Usage

Getting Started

Contributing

Support

Overview

What the project does?

The Retail Customer Segmentation Project is a data science project that analyzes customer data to segment them into distinct groups based on their purchasing behavior. It uses the RFM (Recency, Frequency, Monetary) model to classify customers into different clusters, helping businesses gain insights into their customer base. This project involves data preprocessing, exploratory data analysis (EDA), and machine learning techniques such as K-Means clustering.

Why the project is useful?

This project is useful for businesses in the retail industry to better understand their customers' behavior and tailor marketing and sales strategies accordingly. By segmenting customers, businesses can:

*Identify high-value customers and target them with personalized offers.

*Recognize at-risk customers and take measures to retain them.

*Optimize marketing efforts by focusing on the right customer segments.

*Improve overall customer satisfaction and loyalty.

Usage

How users can get started with the project?

To get started with the Retail Customer Segmentation Project, follow these steps:

1.Clone the project repository to your local machine:

git clone https://github.com/419vive/Customer-Segmentation.git

2.Install the required dependencies by running:

pip install -r requirements.txt

3.Run the Jupyter notebooks provided in the project to perform data analysis, clustering, and visualization.

4.Customize the project to fit your specific retail dataset by modifying the data preprocessing and analysis steps.

Contributing

Who maintains and contributes to the project?

This project is maintained by Jerry Lai. Contributions are welcome from the open-source community. If you would like to contribute, please follow these steps:

1.Fork the repository to your GitHub account.

2.Create a new branch for your feature or bug fix: git checkout -b feature/your-feature-name

3.Make your changes and commit them: git commit -m "Description of your changes"

4.Push your changes to your GitHub repository: git push origin feature/your-feature-name

5.Open a pull request on the main project repository, describing your changes and their purpose. Your contributions will be reviewed, and if they align with the project's goals, they will be merged into the main branch.

Support

Where users can get help with your project?

If you need assistance or have any questions about the Retail Customer Segmentation Project, please feel free to reach out to me through the following channels:

GitHub Issues: Report any issues or bugs you encounter. Email: Contact me at 419vive@gmail.com for project-related inquiries. I am here to help you make the most of this project and answer any queries you may have.