Hello everyone
A year ago here, I learned to start learning R with R for data science by Hadley Wickham. it was a smooth start and a lovely ride. thanks to it I significantly furthered my carrier in medical research (also courtesy to this community).
Now I aim to step into the world of machine learning for data science and learn Python; yet once again I'm overwhelmed by the plethora of resources.
Which resource would you suggest for start? is there an developer-author like Hadley Wickham in python? also is there an equivalent to tidyverse in Python? does Panda qualify?
Just a side note to say that plenty of machine learning for data science happens over here in the R world also... though learning other programming languages is great to do.
Thanks for the reply. could you please introduce a good study resource for ML in R where the author uses tidyverse style? something for a beginner in ML
Tidy Modeling with R seems like the place to start. I believe a print edition is forthcoming. tidymodels is still developing and has some weak points, but it does provide a unified interface to many disparate modeling packages, which is very valuable.
As for getting started with Python, you might try reading some notebooks on Kaggle to get a sense of which frameworks are popular there, and then seek out a book or an online course that teaches them.