Intermediate
65 Lessons
14h
Certificate of Completion
This course introduces classification and regression trees (CART), random forest, and XGBoost machine learning algorithms using the R programming language.
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This course includes
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Course Overview
The R programming language is widely used in the field of data science. Machine learning is a fundamental skill for learners looking to master industry algorithms in the field of data science. In this course, you’ll learn about several essential algorithms used in machine learning, including classification and regression trees (CART), random forest, and XGBoost. CART is a decision tree algorithm that’s used for both classification and regression problems. Random forest is an ensemble learning method that u...Show More
TAKEAWAY SKILLS
Data Science
Machine Learning
Machine Learning Fundamentals
What You'll Learn
An understanding of the basics of machine learning and supervised learning
Familiarity with the differences between classification and regression trees
A working knowledge of XGBoost algorithm
Familiarity with random forest
Course Content
Welcome to the Course
Supervised Learning
Classification Tree Math
Using Classification Trees in R
Introducing the Bias-Variance Tradeoff
Model Tuning
4 Lessons
Model Tuning with tidymodels
5 Lessons
Feature Engineering
6 Lessons
Regression Trees
5 Lessons
The Random Forest Algorithm
4 Lessons
Using Random Forests
7 Lessons
Gradient Boosting Trees
6 Lessons
Continuing Your Journey
1 Lesson
How You'll Learn
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