This repository is maintained for Hactoberfest 2023 and a collection of resources for beginners who want to contribute in open source projects and learn how it works, what are the best practices etc.
- You can contribute in terms of Code
- You can contribute in terms of improving Documentation
Please follow these guidelines when contributing to this repository:
- Ensure that your contributions align with the theme of the repository, which is for beginners.
- Be respectful and considerate when commenting on issues or pull requests.
- If you're adding new content, provide a clear description of what it covers and why it's relevant.
- Keep your code clean and well-documented.
- Test your changes if applicable to ensure they work as expected.
- Follow the existing file structure and naming conventions.
- By contributing to this repository, you agree to license your contributions under the same license as the repository itself.
Some useful repos to start with Check Here
We welcome contributions from the community! If you'd like to contribute to this repository for Hacktoberfest, please review our Contribution Guidelines. Whether it's fixing a typo, adding a new resource, or creating a project template, your contributions are valuable and appreciated.
Please note that we have a Code of Conduct that we expect all contributors to follow. Be respectful, inclusive, and considerate when interacting with others in this community.
If you have any questions or need assistance with your contributions, please don't hesitate to contact us through GitHub issues. We're here to help you contribute effectively.
This project is licensed under the MIT License - see the LICENSE file for details.
Let's make this repository a vibrant and collaborative space for all AI and Data Science enthusiasts. Happy hacking! 🚀
