viv1more / customer-segmentation

MCA Final Year Project

MCA Final Year Project

Customer Segmentation using Machine Learning

Introduction

Short description or introduction of your project.

Table of Contents

• Installation
• Usage
• Notebooks
• Contributing
• License

Installation (Google Colab)

To run this project in Google Colab, follow these steps:

1. Open the notebook in Google Colab by clicking on the "Open in Colab" badge in the "Notebooks" section above.

2. In Google Colab, select "Runtime" from the menu and click on "Change runtime type".

3. Choose "Python 3" as the runtime type and click "Save".

4. Run the following code snippet in a code cell to install the required dependencies:

!pip install -r requirements.txt

Usage 🚀

To use this project, follow the steps below:

1. Open the notebook in Google Colab by clicking on the "Open in Colab" badge in the "Notebooks" section above.

2. In Google Colab, run the code cells in sequential order.

3. Customize the project as needed by modifying the code, adjusting parameters, or adding your own data.

4. Interact with the project by executing the provided functions, running the analysis, or generating visualizations.

5. Feel free to explore different parts of the notebook and experiment with different inputs to gain deeper insights into the customer segmentation.

Code Examples 📃

Here are some sample code examples demonstrating the usage of this project (might not same code as in project):

# Example 1: Load and preprocess the data
import pandas as pd

data = pd.read_csv('data.csv')
# Perform preprocessing steps...

# Example 2: Train the customer segmentation model
from sklearn.cluster import KMeans

kmeans = KMeans(n_clusters=5)
kmeans.fit(data)

# Example 3: Visualize the segmentation results
import matplotlib.pyplot as plt

plt.scatter(data['Feature1'], data['Feature2'], c=kmeans.labels_)
plt.xlabel('Feature 1')
plt.ylabel('Feature 2')
plt.title('Customer Segmentation')
plt.show()

Notebooks 📓

Explore the project in interactive notebooks:

Contributing

Thank you for your interest in contributing to this project! Contributions are welcome and greatly appreciated. To contribute, please follow these guidelines:

Reporting Issues

If you encounter any issues or have suggestions for improvements, please open a new issue on the GitHub Issues page. Provide a clear and detailed description of the problem, including steps to reproduce it if applicable. Adding screenshots or error messages can be helpful.

Submitting Pull Requests

If you would like to contribute by making changes to the project, you can submit a pull request. Here's how you can do it:

1. Fork the repository and create your own branch for making changes.

2. Make the desired changes and ensure that the code passes any existing tests.

3. Write clear and concise commit messages explaining the changes you made.

4. Submit a pull request from your branch to the main branch of the original repository.

5. Be prepared to address any feedback or requests for changes during the review process.

Contact ✉️

If you have any questions or need further clarification, you can contact me via [email protected] or through the GitHub Issues page.

Your contributions, whether reporting issues, suggesting improvements, or submitting code changes, are valuable and help make this project better. Thank you for your support!

You can also contribute by:

• Opening GitHub Issues
• Submitting Pull Requests :rocket: :sparkles:

License 📝

This project is licensed under the MIT License.