A GitHub repository is a directory of all your projects with their revision history. It is used to manage your projects or show your projects as a portfolio. Generally, you will see people uploading their projects on a GitHub repository, but there are many data science contributors, who have used the functionality of a GitHub repository to create valuable resources to learn data science for free. So if you want to know about some GitHub repositories you should follow to learn data science, then this article is for you. In this article, I will take you through some of the best GitHub repositories you should follow to learn data science.
GitHub Repositories to Learn Data Science
500+ Artificial Intelligence Projects List with Code:
This GitHub repository was created by Ashish Patel, who is an AI researcher and Senior Data Scientist. It includes over 500 Machine Learning, Deep Learning, Computer Vision, NLP, and Data Analysis projects with code. This list of projects is regularly updated with new projects, so if you follow this repository, you will be able to find many data science projects with code regularly. You can find this GitHub repository here.
Awesome Data Science:
Awesome Data Science is another GitHub repository, that you can follow to learn data science. It is an open-source data science repository, that you can use to learn and apply data science to solve real-world problems. It includes all the resources that will be very helpful for a data science newbie. If you want to know all the algorithms you need to learn, the best courses you should follow, then this repository is perfect for you. In short, you will get the complete learning path for data science from this repository.
Summary
So these were some of the best GitHub repositories that you can follow to learn Machine Learning. You can trust these repositories as these are created by data science professionals who are actively contributing to the data science community. I hope you liked this article on GitHub repositories you should follow to learn data science. Feel free to ask your valuable questions in the comments section below.
