Top 7 GitHub repository you need to master the art of data science now and forever!

Top 7 GitHub repository you need to master the art of data science now and forever! 

1) Data science cheatsheet

github.com
GitHub - aaronwangy/Data-Science-Cheatsheet: A helpful 5-page machine learning cheatsheet to assist...
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. - GitHub - aaronwangy/Data-Science-Cheatsheet: A helpful 5-page machine learning c...

2) Data science interviews

github.com
GitHub - alexeygrigorev/data-science-interviews: Data science interview questions and answers
Data science interview questions and answers. Contribute to alexeygrigorev/data-science-interviews development by creating an account on GitHub.

3) Machine learning Notebooks

github.com
GitHub - dair-ai/ML-Notebooks: Machine Learning Notebooks
:fire: Machine Learning Notebooks. Contribute to dair-ai/ML-Notebooks development by creating an account on GitHub.

4) ML course notes

github.com
GitHub - dair-ai/ML-Course-Notes:  Sharing machine learning course / lecture notes.
 Sharing machine learning course / lecture notes. - GitHub - dair-ai/ML-Course-Notes:  Sharing machine learning course / lecture notes.

5) ML for beginners

github.com
GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for...
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all - GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

6) DS for beginner's

github.com
GitHub - microsoft/Data-Science-For-Beginners: 10 Weeks, 20 Lessons, Data Science for All!
10 Weeks, 20 Lessons, Data Science for All! Contribute to microsoft/Data-Science-For-Beginners development by creating an account on GitHub.

7) ML study guide by AssemblyAI

github.com
GitHub - AssemblyAI-Examples/ML-Study-Guide: Minimal Machine Learning Study Plan
Minimal Machine Learning Study Plan. Contribute to AssemblyAI-Examples/ML-Study-Guide development by creating an account on GitHub.

Source:
Kush Jain
@kushrjai

Avi Kumar Talaviya
@avikumart_