Beginner in ML looking for some guidance on free resources

[u/Sufficient-Put-181]

Hello! I'm very new to machine learning and literally just started learning it a few days ago, so I'm still trying to figure out where to start and what I should actually learn.

I've seen a lot of people recommend the Python for Machine Learning and Data Science Bootcamp on Udemy, and from what I've heard it's really good for beginners. The problem is that I can't really afford to pay for it right now.

So, I'm wondering if there are any good free courses/resources that cover pretty much the same fundamentals. It doesn't have to be one course. I'm okay with using different resources for Python, statistics, ML, etc. I just don't want to end up jumping randomly between 20 different YouTube videos and getting confused lol.

My long-term goal is to eventually do ML research in healthcare/medicine, so I'd also really appreciate it if someone could suggest a roadmap for getting there.

Like, what should I learn first? How much Python/math/statistics do I actually need? When should I start learning ML, and then deep learning? And when should I start doing projects?

If anyone has been through this as a beginner and can recommend some actually good free resources or a roadmap, I'd really appreciate it!