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CONTRIBUTING.md

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Contributing Guidelines

Welcome to AI-OctoFusion! We're thrilled that you're interested in contributing to this collection of machine learning projects for Hacktoberfest. By following these guidelines, you can help maintain the quality and organization of our project collection.

Contribution Types

There are primarily two types of contributions you can make:

  1. Adding a New Machine Learning Project: If you have a fantastic machine learning project that you want to share with the community, you can add it to our collection. Make sure to follow the project structure guidelines (explained below).
  2. Improving Existing Projects: If you notice an issue or want to enhance an existing project within our collection, feel free to submit a pull request with your improvements.

How to Contribute

To contribute to AI-OctoFusion, follow these steps:

  1. Fork the Repository: Click the "Fork" button on the top right corner of this page to create your own fork of AI-OctoFusion.
  2. Clone Your Fork: Clone your forked repository to your local machine using the following command:
git clone https://github.com/YourUsername/AI-OctoFusion.git
  1. Create a New Branch: Create a new branch for your contribution with a descriptive name:
git checkout -b your-branch-name
  1. Contribute a New Project: If you're adding a new project, create a directory for it. Ensure your project follows the Project Structure guidelines.
  2. Commit and Push: After making your changes, commit and push them to your forked repository:
git add .
git commit -m 'Added/Updated project: ProjectName'
git push origin your-branch-name
  1. Create a Pull Request (PR): Go to the AI-OctoFusion repository and click on the "New Pull Request" button. Submit your PR with a clear title and description.
  2. PR Review: Your PR will be reviewed by our maintainers. Make any requested changes if necessary.
  3. Merge: Once your PR is approved, it will be merged into the main repository.
  4. Star the Repository: Show your support by starring the AI-OctoFusion repository.

Project Structure

When adding a new machine learning project, please adhere to the following guidelines:

  • Create a directory for your project.
  • Include a README.md file with clear instructions on how to use your project.
  • Add a brief description of your project, its purpose, and any dependencies.
  • Use a clear and organized file structure for your project's code and resources.

Example Project Structure:

YourProjectName/
      ├── README.md
      ├── code/
      │   ├── main.py
      │   └── ...
      ├── data/
      │   ├── dataset.csv
      │   └── ...
      └── ...

Code of Conduct

Please review and adhere to our Code of Conduct to ensure a respectful and inclusive environment for all contributors.

Thank you for your contributions to AI-OctoFusion. Together, we can make Hacktoberfest an incredible experience for the open source and machine learning communities!