Overview
Machine Learning for Beginners is an open-source curriculum maintained by Microsoft Cloud Advocates. The program consists of 12 weeks and 26 lessons with 52 quizzes, focused on classical ML techniques (primarily using Scikit-learn) and delivered using project-based pedagogy with multilingual translations and offline options.
Key Features
- Structured curriculum: 12-week program covering regression, classification, clustering, NLP, time series, and reinforcement learning.
- Projects & quizzes: Each lesson includes exercises, assignments, and pre/post quizzes for hands-on learning.
- Multilingual resources: Translations, PDF compilations, video walkthroughs, and example notebooks available.
Use Cases
- Classroom teaching and course materials for introductory ML courses.
- Self-learners aiming to build foundational ML skills with practical exercises.
- Educators and curriculum developers who want reusable lesson content and quizzes.
Technical Highlights
- Notebook-first lessons with companion web demos and a quiz app for assessments.
- MIT-licensed, actively maintained repository with community contributions and translations.
- Offline deployment via Docsify or viewing on GitHub Pages.