This guide walks you through the Python roadmap for ML, covering core syntax, data handling & analysis, interactive resources, software engineering tools, and even an optional math refresher. It then dives into ML foundations, deep learning, real-world applications, LLMs, and project/portfolio building—all neatly timestamped for your learning pace.
Along the way, you’ll get two beginner-friendly Datacamp tracks (Python Data Fundamentals & ML Scientist with Python) plus an exclusive 25% off link, and a spotlight on the DevLaunch mentorship program for hands-on projects and job support.
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