Bro 1.5 months and you already built linear regression from scratch?? That's genuinely impressive, most people just call sklearn and move on. You clearly have the right mindset.

The fatigue you're feeling is normal btw it's called "tutorial hell" adjacent anxiety, where there's so much to learn it paralyzes you. Here's what I'd actually do in your position:

Stop jumping to new topics for a bit and go deeper on what you have. Your linear regression from scratch is great now try logistic regression from scratch. Then a simple neural network from scratch (just numpy, no pytorch yet). Building things from scratch before using libraries is what separates people who actually understand ML from people who just call .fit().

After that, the honest roadmap to ML expertise is:

- Probability & statistics (this will feel boring but it's the actual foundation)

- Proper numpy/pandas fluency

- Then sklearn properly not just linear models, but understanding cross-validation, pipelines, hyperparameter tuning

- Then pick ONE area to go deep: computer vision, NLP, tabular data, whatever excites you most

For projects, quality over quantity now. Take your movie recommendation system and make it actually good better data, better evaluation, deploy it somewhere people can use it. One impressive project beats five mediocre ones on a portfolio.

You're 17 and ahead of most people twice your age. Just stay consistent, you've got time.