Python: Implement & Evaluate Random Forests for ML
by Coursera
Learn to implement and evaluate Random Forest models in Python using the SONAR dataset. Gain practical machine learning skills through hands-on coding.
Why this course
- Hands-on coding approach reinforces practical implementation of Random Forests
- Real-world dataset (SONAR) provides authentic classification context
- Clear progression from decision trees to ensemble methods
- Quizzes reinforce understanding of model evaluation metrics
