ML-For-Beginners
A 12-week, 26-lesson curriculum teaching classic machine learning using Scikit-learn through hands-on projects and quizzes.
What is ML-For-Beginners?
Machine Learning for Beginners is a free, open-source curriculum from Microsoft that teaches classic machine learning fundamentals over 12 weeks. It focuses on practical, project-based learning using Scikit-learn and R, covering topics like regression, classification, clustering, NLP, and time series forecasting. The course avoids deep learning to provide a solid foundation in traditional ML techniques.
Absolute beginners, students, and educators looking for a structured introduction to machine learning without prior experience. It's also suitable for developers transitioning into data science or ML roles.
It offers a completely free, high-quality alternative to paid courses, with a hands-on, project-based approach and support for multiple programming languages. The curriculum is backed by Microsoft's cloud advocates and includes a global community for support.
Overview
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Use Cases
Best For
- Students starting their machine learning journey from scratch
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