Before diving into ML, this video lays out a clear Python roadmap: nail core skills like control flow and functions, master data handling with pandas/NumPy, and explore interactive platforms for extra practice. You’ll also pick up essential SWE tools (Git, testing), optional math refreshers, and then tackle machine learning fundamentals, deep learning, real-world applications—and even a bonus LLM peek—wrapping up by building portfolio-worthy projects.
Plus, if you want extra structure, the creator recommends Datacamp’s Python Data Fundamentals and ML Scientist tracks (with a sweet 25% off link), or you can join the DevLaunch mentorship for hands-on guidance and real-world projects to actually land that dream job.
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