The ML Roadmap is finally live.
When I started learning ML, the hardest part wasn't the math or the code. It was not knowing what to learn next. I ended up learning everything I could find, and honestly a good chunk of it I never use. Along the way I kept notes on the parts that actually mattered, and this roadmap came out of those notes plus a lot of research on how to order the nodes properly, from fundamentals all the way to deployment.
What's in it: a checklist at every node, questionnaires to test yourself, over 80 curated resource links, and real projects built on actual datasets. It starts by figuring out where you already are and points you to the right node instead of making you start from zero. Nodes stay locked until you finish the one before it, so the path stays honest.
This is the first version and it will keep growing. I'd like to hear what the experience feels like, what's missing, and what you'd want added.

Check it live at : Link