These videos lay out a no-nonsense Python roadmap so you can nail the basics before diving into ML. You’ll sharpen core skills (variables, control flow, OOP), get comfy with data handling using NumPy/Pandas, explore interactive tutorials, and pick up essential SWE tools like Git—all with optional math brush-ups along the way.
Once your foundation is solid, you’ll tackle ML foundations, play around with deep-learning frameworks, spin up real-world projects (and even LLMs for that extra edge), then build a standout portfolio. Pro tip: check out the DataCamp tracks linked for 25% off and consider a mentorship program if you want hands-on guidance!
Watch on YouTube
Top comments (0)