Random Forest for Regression
Ensembles that resist overfitting.
One Tree, Many Trees
A single tree is shaky and overfits. A random forest grows hundreds of trees and blends them into one steadier prediction. 🌲🌲
The Wisdom of the Crowd
Each tree makes its own guess, then the forest averages them. Individual mistakes cancel out, leaving a smoother, more reliable number.
All lessons in this course
- Linear Regression Revisited
- Ridge and Lasso Regularization
- Decision Tree Regression
- Random Forest for Regression