I started ML specialisation course about 1.5 months ago, and i’ve finished 2 of the 3 courses and started unsupervised ml today. what shd i do after this cuz conceptually i think i have a goodgrasp. ut idk where to start or what level of projects or hackathins (mostly projects) that u should do and the thing is dont even know python properly, whatever python i know is through optional and practice labs and even in that i dont know/remember most of the code wrt libraries like sckikit and tensorflow. so i’ve decided i’ll start learning python side by side cuz i need it for dsa (leetcode) anyways. So please if anyone could guidfe me/give an outline of what to do and where to start i would really appreciate it
Learning python is wise route!
We normally here recommend doing the Deep Learning Specialisation afters MLS, and then you can start playing around with Kaggle tutorials or projects!