ML-scratch(https://staticml.blogspot.com/)
This repo contains all the code and mathematical concepts from scratch. please fork the repo if u find or want to add something new.
Free Data Science learning resources. You can learn data science for nothing. This is a data science learning path. I will add to this list as I discover more content.
- PYTHON BASICS
- Introduction to Python, The Scientific Libraries, Advanced Python Programming and the Pandas Section of Data and Empirics [https://lectures.quantecon.org/py/]
- Chapters 1 - 4 in this book[https://www.youtube.com/redirect?redir_token=vOJSZ1kcEKAaZPndoBjM1y9dHv18MTU1Nzk4MzIxOUAxNTU3ODk2ODE5&v=eTxyviU0Ddo&q=https%3A%2F%2Fgithub.com%2Fjakevdp%2FPythonDataScienceHandbook%2Fblob%2F8a34a4f653bdbdc01415a94dc20d4e9b97438965%2Fnotebooks%2FIndex.ipynb&event=video_description]
- Then this Pandas tutorial[https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html] 4.Here are some excellent pandas code examples[https://github.com/wesm/pydata-book]
for more: https://www.youtube.com/watch?v=eTxyviU0Ddo ||||||| merged common ancestors