Get ready to level up your Python before diving into ML: start with core syntax (loops, functions, OOP), move on to data handling & analysis with pandas and NumPy, learn interactive tools (Jupyter, VS Code), pick up SWE essentials (Git, testing), and optionally brush up on math before tackling ML foundations, deep learning, real-world pipelines and even playing with LLMs.
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