10 GitHub repositories for data science and ML

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10 Github repositories you need to succeed and master data science and machine learning A 🧵↓

1. Best of ML Python Includes: • 900 open-source projects in ML github.com/ml-tooling/best-of-ml-python

2. ML Youtube courses Includes: • Courses from Stanford, MIT, NYU, and many others github.com/dair-ai/ML-YouTube-Courses

3. Data science for beginners from Microsoft Includes: • Beginners-friendly Intro to data • Data visualization lectures • Data science lifecycle • Data science in the cloud github.com/microsoft/Data-Science-For-Beginners

4. ML for beginners from Microsoft Includes: • Introduction to ML • Web-app • ML algorithms video lectures github.com/microsoft/ML-For-Beginners

5. Awesom Machine learning Includes: • ML in all programming languages like java, JS, C++, etc github.com/josephmisiti/awesome-machine-learning

6. Data science ipyhon notebooks Includes: • Notebooks of Deep learning frameworks like TF, sklearn, Keras, Big data frameworks, etc github.com/donnemartin/data-science-ipython-notebooks

7. Data science cheatsheet Includes: • cheatsheet of all ML algorithms to review ML on the go github.com/aaronwangy/Data-Science-Cheatsheet

8. Data science interviews Includes: • Theoretical questions about ML and DS • technical questions of python, SQL github.com/alexeygrigorev/data-science-interviews

9. ML notebooks Includes: • NLP • Computer vision • GAN • Transformers • Pytorch github.com/dair-ai/ML-Notebooks

10. ML Course Notes Includes: • Course notes in ML, NLP, and AI github.com/dair-ai/ML-Course-Notes

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