TL;DR: This video lays out a step-by-step Python roadmap before you dive into ML. You’ll master core syntax, data handling with pandas/NumPy, interactive tools like Jupyter, and essential dev workflows (git, testing). If you want, you can brush up on math, but you’ll soon be jumping into scikit-learn for ML basics, leveling up with deep learning, tackling real-world deployments, and even playing with LLMs. Wrap it all up by building portfolio projects that make recruiters sit up and take notice.
Along the way, you’ll get pointers to beginner-friendly DataCamp tracks (plus a 25% off link!) and an invite to join a hands-on mentorship program for real accountability, project guidance, and job-landing strategies.
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