Python Skills You NEED Before Machine Learning

This video lays out a clear roadmap for getting Python-ready for ML: start with core language features (data types, control flow), move on to data handling and analysis tools (Pandas, NumPy), then pick up key software engineering tools (version control, testing). If you need it, carve out some time for the math refresher before diving into machine learning foundations, deep learning basics, and real-world ML practices—plus a bonus section on LLMs to stay ahead.

Along the way, you’ll find interactive resources (like two beginner-friendly DataCamp tracks with an exclusive discount) and guidance on building real projects to beef up your portfolio. If you want more accountability, there’s also a mentorship program that takes you from tutorials to job-ready developer.

Watch on YouTube