u/Basic_Standard9098

i have been learning machine learning seriously with project based approach and learning concepts deeply from campusx

concepts are understandable but coding and debugging is where i struggle a lot

i cant make projects fully myself without checking code again and again

one person told me that beginners should not waste time trying to write everything from scratch
instead take working code modify it experiment with it observe outputs and understand how every part works

so now im confused

is this the actual industry style learning process for ml
or should i still practice coding everything myself till i become fluent

what worked for you guys honestly