In this project, you will first train a decision tree to understand the logic behind tree splits and predictions. Then, you will train a random forest to improve accuracy and explore how ensemble models work. We will review decision trees and go over how random forest work under the good.
good -> hood
In this project, you will first train a decision tree to understand the logic behind tree splits and predictions. Then, you will train a random forest to improve accuracy and explore how ensemble models work. We will review decision trees and go over how random forest work under the good.
good -> hood