This repository is dedicated to showcasing a diverse collection of machine learning projects. Whether you're a beginner looking to learn or an experienced practitioner wanting to contribute, we welcome your projects here.
We encourage you to submit your machine learning projects to enrich our repository. Follow these steps to contribute:
- Fork the repository to your GitHub account.
- Clone the forked repository to your local machine:
git clone https://github.com/your-username/machine_learning.git
- Create a new branch for your project:
git checkout -b your-branch-name
- Add your project to the repository. Ensure you include:
- Code files
- Documentation (README.md, setup instructions, usage guide)
- Any necessary datasets (if applicable)
- Modify the README (this file) using the template below:
Project Title: Short description of your project.
Description: Provide a detailed description of your project, including its objectives, methodology, and key findings.
Files Added/Modified:
- List of files added or modified, including directories.
Checklist:
- Tested code and ensured it runs without errors.
- Included documentation explaining the project, its components, and how to run it.
- Followed best practices and added comments for clarity.
- Added yourself to the contributors' list in
CONTRIBUTORS.mdfile.
Additional Information: Add any extra context, screenshots, or links that might be relevant for reviewing your project.
- Push your changes to your forked repository:
git push origin your-branch-name
- Submit a Pull Request (PR) to the
machine_learningrepository. Include a descriptive title and provide details about your project following the template above.
For questions or suggestions, reach out to Charan.
Thank you for contributing to our machine_learning repository! We look forward to seeing your innovative projects.