Python Skills You NEED Before Machine Learning

This video walks you through a clear Python roadmap—from mastering core language features (variables, loops, functions) and data handling (NumPy, pandas) to getting comfy with interactive tools (notebooks, REPLs) and essential software‐engineering staples (git, testing, CLI). It even covers the optional math refresher you might need, foundational ML concepts (scikit-learn), a taste of deep learning, real-world deployment best practices, and a bonus look at working with LLMs—all wrapped up with tips on building portfolio projects.

Along the way, you’ll find beginner-friendly links to DataCamp’s Python Data Fundamentals and ML Scientist tracks (with a sweet 25% off), plus an invite to DevLaunch’s mentorship program for hands-on guidance and real accountability—no fluff, just practical steps to level up and land that data role.

Watch on YouTube