A few little advices about my Machine Learning journey [D](reddit.com)

I apologize for such an amateur question if someone is offended ​ I just finished my 2nd year of degree. Well, the degree was a bit slow and I did the ML course this semester as well but being a Third World Country and stuff, it doesn't really matter cause I didn't learn antg of value from them ​ I've been studying ML myself for 5-6 months, but I skipped the last 2 months cause of some issues and I've failed to get that motion back so I need a little bit of advices as where to continue ​ I know python of course and I've learned many ML algorithms, all supervised and what you'd call easy. I have understood their general concepts and maths but never went in deep. I did them in practical as well. Made a very few projects. ​ Now, I'm confused what should I learn next, I feel unsupervised learning isn't really my thing or I wouldn't be able to do it so can I just skip that? And idk what's next, so what is it? I've thought of learning Agentic AI as well but I can't do that until I'm satisfied with myself that I completely know ML and I can work on professional level. ​ And if you've any resources to learn from, certifications etc as well. I'd really appreciate it. Again I apologize for really rookie questions. submitted by /u/Negative-Guard-4487 [link] [Kommentare]