I’ve been working with python data science libs without too many problems given my basic python programming skills. You know: slicing lists, basic flow control, concatenation, writing basic functions calling and running lib mods.
But, I was caught off-guard with the beginner deep learning specialization, with the level of programming needed to translate algos into code.
Anyway, not complaining. Just hoping for suggestions regarding a learning path to shore-up my short comings in python programming. I’ll never want to be a software engineer or probably not even a data engineer. i’m an old school data analysts who is working to catch up with the future. I’m all about data scrubbing, EDA, and feature selection/engineering.
Please advise. Much appreciated.