Python Skills You NEED Before Machine Learning

This video lays out a no-fluff roadmap for leveling up your Python game before diving into ML: start with core Python (data types, control flow, functions), get comfy with data handling and analysis (Pandas, NumPy), and explore interactive learning resources like DataCamp (with an exclusive 25% off link for both the Python Data Fundamentals and ML Scientist tracks). You’ll also pick up essential software engineering tools (Git, testing), optional math refreshers, and the foundational ML concepts to get you started.

Once you’ve built that solid base, the guide walks you through deep learning basics, real-world ML applications, bonus tips on LLMs, and how to turn all that into portfolio projects. If you want extra accountability and hands-on guidance, there’s even a mentorship option through DevLaunch to help you go from tutorials to job-ready.

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