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ML Fusion Lab - Learn Machine Learning

Welcome to ML Fusion Lab!.

Website Preview

website preview


🌟 Stars 🍴 Forks 🐛 Issues 🔔 Open PRs 🔕 Close PRs 🛠 Languages 🌐 Contributors
Stars Forks Issues Open Pull Requests Close Pull Requests GitHub language count GitHub contributors

🚀Featured In

Event Logo Event Name Event Description
GSSoC 24 GirlScript Summer of Code 2024 Extd The coding period is from October 1st to November 10, during which contributors make contributions and earn points on the platform.
Hacktoberfest 2024 Hacktoberfest 2024 Hacktoberfest is a month-long celebration of open source software run by DigitalOcean, GitHub, and Twilio. It encourages contributions to open source projects and promotes a global community of developers.

Table of Contents

  1. Website Preview
  2. Featured In
  3. Introduction
  4. Technology Used
  5. Key Features
  6. Overview
  7. Getting Started
  8. How to Report Bugs
  9. How to Request Enhancements
  10. Contributors
  11. Stargazers
  12. Forkers
  13. Support

Introduction📌

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.

Technology Used🚀

HTML CSS JS

📚 Key Features

  • 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.

image

Overview⭐

Live Project -- https://ml-fusion-lab.netlify.app/

Getting Started

Guidelines

  • Before creating an issue, use the search feature to check if a similar issue already exists.

  • 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.

  • Do not create a Pull Request until the issue has been assigned to you.

  • 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! 😊

Contributing

Contributions are welcome! To contribute, You can follow these steps:

Fork the Repository

  1. Navigate to the ML Fusion Lab repository.
  2. Click the "Fork" button at the top right of the page.

Clone Your Fork

  1. Open GitHub Desktop.
  2. Click on "File" > "Clone Repository".
  3. Select the forked repository and choose the local path where you want to save it.
  4. Click "Clone".

Create a Branch

  1. In GitHub Desktop, click on "Current Branch" and select "New Branch".
  2. Name your branch descriptively, e.g., feature-add-animation.
  3. Click "Create Branch".

Making And Committing the Changes

Open the Repository in Your Editor

  1. In GitHub Desktop, click on "Repository" > "Open in Visual Studio Code" (or your preferred editor).

Implement Your Changes

  1. Make your changes in the code editor.
  2. Save your changes.

Commit Your Changes

  1. In GitHub Desktop, you should see your changes listed.
  2. Enter a summary for your commit and a detailed description if necessary.
  3. Click "Commit to your-branch-name".

Push Your Changes

  1. Click "Push origin" in GitHub Desktop to push your changes to your forked repository on GitHub.

Submit a Pull Request

  1. Navigate to your forked repository on GitHub.
  2. Click on the "Compare & pull request" button.
  3. Ensure the base repository is ML-Fusion-Lab/ML-Fusion-Lab-Website and the base branch is main.
  4. Add a title and description for your pull request.
  5. Click "Create pull request".

How to Report Bugs

  1. Check Existing Issues: Before opening a new issue, check if the bug has already been reported.
  2. Open a New Issue: If the bug is new, open an issue on the Issues page.
  3. Provide Details: Include as much information as possible, such as steps to reproduce the bug, expected behavior, and screenshots if applicable.

How to Request Enhancements

  1. Check Existing Issues: Before suggesting a new feature, check if it has already been proposed.
  2. Open a New Issue: If the feature is new, open an issue on the Issues page.
  3. Provide Details: Clearly describe the enhancement and why it would be beneficial.

Contributors

A heartfelt thank you to the following individuals for their valuable contributions to this project. Your support and dedication are greatly appreciated:


👥 Team

Vivek Vardhan
Vivek Vardhan
Project Admin
LinkedIn

Support🧡

If you find this project helpful, please consider giving it a ⭐ on GitHub, Happy Coding!

Discord

Thank you for contributing to the ML Fusion Lab! Your efforts help make this project better for everyone. 🎉🚀