Python Skills You NEED Before Machine Learning

Get your foundation rock-solid: master core Python (syntax, data structures, control flow), dive into data handling with pandas and NumPy, and level up your SWE game with Git, testing and virtual environments. If you’re feeling rusty, a quick math refresher (linear algebra, stats) can’t hurt before tackling ML basics, deep learning, real-world projects and even LLMs.

Need guided help? Check out the Python Data Fundamentals and ML Scientist tracks on DataCamp (25% off with the link) or join DevLaunch for hands-on mentorship, real projects and job-ready accountability.

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