Python Skills You NEED Before Machine Learning

Before diving into ML, nail down the essentials: core Python (loops, functions, OOP), data handling with pandas/numpy, interactive learning tools (notebooks, online sandboxes), basic SWE tools (Git, testing) and even some optional math. Once that’s solid, the roadmap takes you through machine learning foundations (scikit-learn), deep learning, real-world ML pipelines and a bonus on LLMs, all wrapped up by building projects and a standout portfolio.

To kickstart your journey, they recommend two beginner-friendly Datacamp tracks (Data Fundamentals and ML Scientist) with a 25% off link, plus the DevLaunch mentorship program for real-world projects, hands-on guidance and job-prep accountability.

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