This repository provides a structured 12-week curriculum with 26 lessons covering foundational machine learning concepts and algorithms, including hands-on quizzes and practical examples using Python and scikit-learn. Developers new to machine learning can use it to systematically learn data science fundamentals, from data preprocessing through model evaluation, with clear explanations and reproducible code examples. The organized lesson structure and included assessments make it useful for self-paced learning or as a teaching resource.

2 open issues · last updated Jul 21, 2026