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All LessonsFree Lessons (5)

Welcome to the Course

Course Expectations Machine Learning Is Predictive Analytics The Course Datasets Quiz: Data Basics

Supervised Learning

What Is Machine Learning?Forms of Supervised Learning Why Decision Trees?Decision Tree Intuition Overfitting Intuition Model Tuning Intuition Quiz: Machine Learning Concepts

Classification Tree Math

Gini Impurity Gini Change Classification Tree Training Example Many Categories Impurity Numeric Feature Impurity Quiz: Classification Tree Math

Using Classification Trees in R

Exploratory Data Analysis—Profiling Exploratory Data Analysis: Visualization Introducing tidymodels Crafting the Recipe Specify the Algorithm and Workflow Fitting the Model Quiz: Fitting Models

Introducing the Bias-Variance Tradeoff

Underfitting and Overfitting The Bias-Variance Tradeoff Quiz: Underfitting, Overfitting, and the Bias-Variance Tradeoff

Model Tuning

Cross-Validation Model Tuning Intuition 201 Controlling Complexity Pruning Classification Trees

Model Tuning with tidymodels

Measuring Model Accuracy Performing Cross-Validation Tuning a Classification Tree Visualizing a Tuned Classification Tree Quiz: Model Tuning

Feature Engineering

Feature Engineering Intuition Information Leakage Decision Boundaries Engineering Features for Decision Trees Missing Data Quiz: Feature Engineering

Regression Trees

Regression Tree Basics

Numeric Feature SSE

Many Categories SSE

Regression Trees with tidymodels

Quiz: Regression Trees

The Random Forest Algorithm

Decision Trees and Ensembles Bagging Feature Randomization Quiz: Random Forests

Using Random Forests

Random Forests with tidymodels Feature Importance Tuning Random Forests Preparing the Test Dataset Making Predictions Testing the Titanic Dataset Quiz: Using Random Forests

Gradient Boosting Trees

How Gradient Boosting Works Gradient Boosting with XGBoost Using XGBoost with tidymodels Tuning XGBoost with tidymodels Evaluating XGBoost with tidymodels Quiz: XGBoost

Continuing Your Journey

Project

Credit Card Fraud Detection using the R Language

Data Science with R: Decision Trees and Random Forests/

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Quiz: Regression Trees

Quiz: Regression Trees

Test what you’ve learned about regression trees.

We'll cover the following...

Technical Quiz

1.

(True or False) CART regression trees predict numeric values.

A.

True

B.

False

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