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Here is a list of data science resources, personal blogs and technical writings that I was finding myself more or less going back to from time to time. Eventually I’ve decided that a list of them was needed.
- Eugene Yan
- Chan`s Jupyter
- Vicki Boykis
- Machine Learning: The Boring Parts
- Papers with Code
- Oh Shit, Git!?!
- Alexey Grigorev’s Machine Learning Bookcamp Course – GitHub
- Chris Albon’s Study Notes
- Introduction to Machine Learning Interviews Book • MLIB
- Data Science Interview Questions & Answers