microsoft/ML-For-Beginners ? reverse-engineered prompt

I want to build a comprehensive, beginner-friendly curriculum for learning machine learning from scratch. Please structure it as a 12-week course with about 26 lessons. It should focus on the fundamentals of "classic" ML, covering topics like regression, classification, clustering, NLP, and time series analysis. Let's use Python and scikit-learn as the primary tools, with all the lessons delivered as hands-on Jupyter Notebooks.

To make it more engaging, I'd love a 'travel the world' theme that uses datasets from different cultures in the examples. Each lesson module should be self-contained, including a pre-lecture quiz, the core lesson, a practical assignment, and a post-lecture quiz to check understanding. Also include visual aids like sketchnotes where possible to help explain complex concepts. The goal is to create a complete, project-based course that's perfect for self-starters.