Thank you for your interest in contributing to the Machine Learning Engineering Repository! Contributions from the community help improve and expand this repository, making it a valuable resource for everyone involved in the field of machine learning.
There are several ways you can contribute to this repository:
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Code Contributions:
- Implement new features, algorithms, or enhancements by creating pull requests.
- Fix bugs or improve existing code to enhance the overall quality of the repository.
- Ensure your code is well-documented and adheres to established coding standards.
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Documentation:
- Improve and enhance the existing documentation.
- Create new guides, tutorials, or explanatory articles related to machine learning concepts.
- Ensure that the documentation is clear, comprehensive, and easily understandable.
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Issue Reporting:
- Report issues, bugs, or inconsistencies you encounter within the repository.
- Provide detailed information about the problem and steps to reproduce it.
To contribute to this repository, follow these steps:
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Fork this Repository:
- Click the "Fork" button in the top-right corner of this repository to create a copy in your GitHub account.
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Clone your Fork:
- Clone the repository from your GitHub account to your local machine.
git clone https://github.com/your-username/machine-learning-repo.git cd machine-learning-repo
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Create a Branch:
- Create a new branch for your contribution.
git checkout -b feature/new-feature
- Make Changes:
- Make the necessary changes and additions to the codebase or documentation.
- Commit Changes:
- Commit your changes with a descriptive commit message.
git commit -m "Add new feature: XYZ"
- Push Changes:
- Push your changes to your forked repository.
git push origin feature/new-feature
- Create a Pull Request (PR):
- Go to the original repository and click on the "New Pull Request" button.
- Select your branch and provide a detailed description of your changes.
- Code Review:
- Participate in discussions and address any feedback provided during the code review process.
- Merge Pull Request:
- Once approved, your contribution will be merged into the main repository.
Thank you for your valuable contributions!
Please note that by contributing to this project, you agree to abide by our Code of Conduct. Make sure to familiarize yourself with its guidelines before contributing.
By contributing to this repository, you agree that your contributions will be licensed under the Apache License.