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Data Science Club Community Projects Arena 🚀

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Welcome to the Data Science Club Community Projects repository! This is a space where members of our community can share their Machine Learning and Data Science projects with others.

Contributing

To contribute your project to this repository, please follow these steps:

  1. Fork this repository to your own GitHub account.
  2. Clone the forked repository to your local machine.
    git clone https://github.com/cdsvitbhopal/ProjectArena-ML.git
    
  3. Create a new branch for your project.
    git checkout -b <github-username>
  4. Add your project to the repository within a new folder that follows the naming convention of "Project_#_Name" (e.g., "Project_1_Titanic_Survival").
  5. Include a README file within your project folder that describes the project, its contents, and how to run it.
  6. Commit and push your changes to your forked repository.
    git commit -m 'Project Name-github-username'
    git push origin <branch-name>
  7. Create a pull request from your branch to the main branch of this repository.
  8. Wait for your pull request to be reviewed and merged.

🧮 Workflow

  • Go through the project repository and the README to get an idea about this repository.
  • Check out the existing issues present there in the Issues section.
  • Comment out in the issue, you wanna work on.
  • Wait for the issue to be assigned to you. Once it's assigned to you, start working on it.
  • Fork the repository.
  • Clone your forked repository using terminal or gitbash. Also you can simply use the web version of GitHub to add your files.
  • Make changes to the cloned repository.
  • Add, Commit and Push.
  • Then on GitHub, in your cloned repository, find the option to make a pull request.

✨Top Contributors

Thanks to these wonderful people! Contributions of any kind are welcome! 🚀


⭐Give this Project a Star

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If you liked working on this project, give it a ⭐ and share this repository.

🎉 🎊 😃 Happy Contributing 😃 🎊 🎉

📬 Contact

If you'd like to contact us, you can reach us through our social media handles.

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We encourage all members of our Data Science Club community to contribute their projects to this repository and showcase their skills!