Welcome to ML Fusion Lab!.
This project aims to provide an interactive platform where users can learn machine learning from scratch, explore projects, and contribute their own machine learning endeavors.
- Comprehensive ML Courses: Learn machine learning from beginner to advanced levels.
- Hands-on Projects: Real-world projects to test and enhance your skills.
- Community Contributions: Upload and collaborate on ML projects.
Live Project -- https://ml-fusion-lab.netlify.app/
Guidelines
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Before creating an issue, use the search feature to check if a similar issue already exists.
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Issues are assigned on the basis of “first come, first served.” Others may get a chance if the issue gets stale and the assignee is inactive for over a week.
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Do not create a Pull Request until the issue has been assigned to you.
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Always mention the issue number for which the Pull Request is being created. You can use one of the following keywords in your PR description or comment to reference the issue:
closes #123
fixes #123
resolves #123
implements #123
Remember to follow this practice to streamline collaboration and keep the project organized! 😊
Contributions are welcome! To contribute, You can follow these steps:
- Navigate to the ML Fusion Lab repository.
- Click the "Fork" button at the top right of the page.
- Open GitHub Desktop.
- Click on "File" > "Clone Repository".
- Select the forked repository and choose the local path where you want to save it.
- Click "Clone".
- In GitHub Desktop, click on "Current Branch" and select "New Branch".
- Name your branch descriptively, e.g.,
feature-add-animation
. - Click "Create Branch".
- In GitHub Desktop, click on "Repository" > "Open in Visual Studio Code" (or your preferred editor).
- Make your changes in the code editor.
- Save your changes.
- In GitHub Desktop, you should see your changes listed.
- Enter a summary for your commit and a detailed description if necessary.
- Click "Commit to
your-branch-name
".
- Click "Push origin" in GitHub Desktop to push your changes to your forked repository on GitHub.
- Navigate to your forked repository on GitHub.
- Click on the "Compare & pull request" button.
- Ensure the base repository is
ML-Fusion-Lab/ML-Fusion-Lab-Website
and the base branch ismain
. - Add a title and description for your pull request.
- Click "Create pull request".
- Check Existing Issues: Before opening a new issue, check if the bug has already been reported.
- Open a New Issue: If the bug is new, open an issue on the Issues page.
- Provide Details: Include as much information as possible, such as steps to reproduce the bug, expected behavior, and screenshots if applicable.
- Check Existing Issues: Before suggesting a new feature, check if it has already been proposed.
- Open a New Issue: If the feature is new, open an issue on the Issues page.
- Provide Details: Clearly describe the enhancement and why it would be beneficial.
If you find this project helpful, please consider giving it a ⭐ on GitHub, Happy Coding!
Thank you for contributing to the ML Fusion Lab! Your efforts help make this project better for everyone. 🎉🚀