This video breaks down a step-by-step Python roadmap for aspiring ML engineers: start with core Python essentials (syntax, data structures, OOP), move into data handling & analysis with libraries like pandas, explore interactive resources (notebooks, docs, tutorials), and get comfortable with software-engineering tools (Git, testing). From there it’s optional math refresh, ML fundamentals, deep learning basics, real-world ML workflows, a bonus on large language models, and finally building standout projects for your portfolio.
Along the way you’ll find links to beginner-friendly Datacamp tracks (with a 25% off code) and an invite to DevLaunch’s mentorship program—hands-on guidance to turn tutorials into real skills and land your dream data-science job.
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