Machine Learning Fundamentals
Master Machine Learning fundamentals: regression, classification, decision trees, SVM, clustering, dimensionality reduction and deployment. 8 chapters, 24 practical lessons with quizzes based on statistical learning methods.
Course Content
ML Fundamentals - Complete PDF
The ML fundamentals reference guide. The most widely used textbook in universities.
What you get
- 607 pages of academic content
- Practical Python code
- Exercise datasets
- Beginner-friendly approach
- Used at Stanford and MIT
Free course vs PDF
Course details
- Chapters 8
- Lessons 24
- Level Beginner
- Quiz Included
Each lesson includes a quiz to test your knowledge as you progress.
Ready to start learning?
Create your free account to track your progress, save favorites, and earn certificates.
Sign up for free