ML-ProjectKart

📌Repository

This kart showcases the finest collection of all projects based on machine learning, deep learning, computer vision, natural language processing and everything. Indulge in this journey of open source.

The main aim is to provide an efficient and beginner-friendly projects that would help you in mastering the ML/AI algorithms and make you familiar. Turn yourself into pro with all the hands-on that got you covered.

🙌Join Here

Anyone related to technology who are looking to contribute to open-source, are all invited to hop in. This place has task for everyone.

If you had worked on or want to initiate a unique project and want to share it with the world, you can do that through here. Go through the contributing guidelines in CONTRIBUTING👩‍💻

Subsequently, also go through the GitHub documentation on creating a pull request.

👨‍💻 Workflow:

Fork the repository
Clone your forked repository using terminal or gitbash.
Make changes to the cloned repository
Add, Commit and Push
Then in Github, in your cloned repository find the option to make a pull request

print("Start contributing for ML-ProjectKart")

⚙️ Things to Note

Make sure you do not copy codes from external sources because that work will not be considered. Plagiarism is strictly not allowed.
You can only work on issues that have been assigned to you.
If you want to contribute the algorithm, it's preferrable that you create a new issue before making a PR and link your PR to that issue.
If you have modified/added code work, make sure the code compiles before submitting.
Strictly use snake_case (underscore_separated) in your file_name and push it in correct folder.
Do not update the README.md.

💡Look Through The Kart Of Amazing Projects

S.no	Project Name	Description
1.	Exploratory Data Analysis Of Meteorological Data	It analyzes the meteorological weather data of last 10yrs from 2006 to 2016 at Finland to check an increase of global warming