TL;DR: Before you even open a scikit-learn tutorial, get rock-solid with core Python (think variables, control flow, functions), data wrangling (NumPy, pandas) and dev tools (git, testing), plus a pinch of math if you want sanity when the equations hit.
Then level up with machine-learning foundations, dive into deep learning, tackle real-world projects (hello, LLMs!), and build out a killer portfolio. The video even links to two beginner-friendly DataCamp tracks (25% off!) and a no-fluff DevLaunch mentorship to help you ship projects and land that dream job.
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