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ML-For-Beginners is a 12-week machine learning curriculum published by Microsoft. It contains 26 lessons, each with explanatory text, code examples, exercises, quizzes, and real-world datasets. The curriculum emphasizes classical (non-deep) machine learning techniques, using tools such as scikit-learn, and is structured in a project-based pedagogy where learners build ML models progressively.
Features
- 12-week structured curriculum with 26 lessons
- Project-based learning with real datasets and code
- Quizzes and exercises for reinforcement
- Solutions and code templates provided
- Focus on classical ML methods (not deep learning)
- Multi-language support (translated into many languages)
Project Samples
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EducationLicense
MIT LicenseFollow ML for Beginners
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