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Machine Learning for Beginners

A 12-week, 26-lesson open-source curriculum from Microsoft covering classic machine learning with project-based exercises and quizzes.

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.

Comments

Machine Learning for Beginners
Resource Info
🎓 Course