Resources & References
Duration: 2 min
Curated resources to deepen your understanding and continue learning beyond this course.
📚 Resources & References
- Scikit-learn Documentation — ML library reference
- StatQuest (YouTube) — Visual ML explanations
- An Introduction to Statistical Learning — Free textbook (ISLR)
- Kaggle Competitions — Practice with real datasets
- Google ML Crash Course — Free supervised learning course