A complete beginner's guide to Python for Data Science.
Start with the basics of Python. Please refer to "A Crash Course in Python" chapter from Data Science from Scratch book by Joel Grus.
After you're done reviewing the basics:
- Start practicing from Hackerrank. Most of the solutions to this domain can be found hackerrank directory of this repo.
- Also try to solve Leetcode top interview questions using Python. Please refer to leetcode directory of this repo.
Finally, dive into the world of Machine Learning using PyTorch. The pytorch directory is basically the notebook version of Patrick Loeber's PyTorch Tutorial series (most of it).
Thanks and please feel free to provide your feedback to me at zibran.zarif.amio@gmail.com