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Scinis-Learn Repository

Welcome to our Machine Learning repository! This repository contains a collection of machine learning algorithms, techniques, and resources for anyone interested in learning or working with machine learning.

Contributing

We welcome contributions to this repository. Whether you are a beginner or an expert in the field, you can contribute in various ways, such as:

  • Adding new machine learning algorithms or techniques.
  • Improving existing algorithms or techniques.
  • Fixing bugs.
  • Improving documentation, including examples and tutorials.

How to contribute

  1. Fork the repository.
  2. Clone the forked repository to your local machine.
  3. Create a new branch for your changes.
  4. Make your changes and test them thoroughly.
  5. Commit your changes with clear and descriptive commit messages.
  6. Push your changes to your forked repository.
  7. Create a pull request from your branch to the main repository.

Contribution guidelines

  • Make sure your code follows best practices and is well-documented.
  • Make sure your code is compatible with the latest versions of relevant libraries and frameworks.
  • Write clear and concise commit messages that explain the changes you have made.
  • Make sure your code passes all existing tests, and add new tests if necessary.
  • If you are adding new functionality, make sure to include examples of how to use it.
  • If you are making changes to existing functionality, make sure to explain why you are making the changes.

Code of conduct

All contributors are expected to abide by our code of conduct. Please review our code of conduct before contributing.

Getting help

If you have any questions or need help with your contributions, please open an issue or reach out to one of the repository maintainers.

Thank you for your contributions! We appreciate your help in making this repository a valuable resource for the Machine Learning community.