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Customer Subscription Prediction with Machine Learning

Description

This project is a simple machine learning model that predicts customer subscription outcomes using various machine learning algorithms. It serves as a demonstration of applying basic machine learning techniques to analyze and predict customer subscription behavior.

Usage

To use this project, follow these steps:

  1. Open the provided Jupyter Notebook (.ipynb) file in Google Colab or a Jupyter Notebook environment.
  2. Run the notebook cells to execute the code and explore the machine learning algorithms and their results.
  3. The project includes all the necessary server-side resources, including the dataset, so no additional installations or downloads are required.

Contributing

Contributions to this project are currently managed by Aditya Mungee.

If you would like to contribute to the project, you can:

  • Provide feedback, suggestions, or bug reports.
  • Submit feature requests.
  • Collaborate on improving the code or implementing additional machine learning algorithms.

License

This project is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Acknowledgments

The project acknowledges and appreciates the contributions of the open-source machine learning community and the availability of the dataset used for this project.

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Customer Subscription Prediction with Machine Learning

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