Data Science with R: Decision Trees and Random Forests

Visualizing a Tuned Classification Tree

Explore how to visualize tuned CART classification trees using tidymodels in R. Learn to apply hyperparameter tuning, interpret model complexity, and understand the bias-variance tradeoff with real data examples.

We'll cover the following...

Specifying hyperparameter values
Visualizing the model

1.Welcome to the Course

2.Supervised Learning

3.Classification Tree Math

4.Using Classification Trees in R

5.Introducing the Bias-Variance Tradeoff

6.Model Tuning

7.Model Tuning with tidymodels

8.Feature Engineering

9.Regression Trees

10.The Random Forest Algorithm

11.Using Random Forests

12.Gradient Boosting Trees

13.Continuing Your Journey

Project

Visualizing a Tuned Classification Tree

Specifying hyperparameter values