How did you get started with ML? Struggling to find the right path.

Hey everyone,

I’m just starting to explore machine learning. I’ve got some basic math from school (calculus, vectors, probability), but I never really understood how it all connects. I recently watched “functions describe the world” and it sparked a real curiosity in me — like, how does math actually power ML?

I want to build strong fundamentals before jumping into tutorials. Thinking of starting with Python, numpy, pandas, and some math refreshers.

Would love to hear from others:

How did you start? What helped things click for you? Any beginner-friendly resources that actually helped you understand the concepts?

Just trying to learn slowly but meaningfully. Any advice or stories would help a lot 🙏