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Tree-Based Models in R

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$12

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course will show you how to use R tree based models. This course covers everything, from simple regression and classification to advanced group methods. You will learn how to use the Gradient Boosting Machine (or GBM) to boost trees or implement bagged trees. These techniques can help you create powerful regression and classification models that can be used to analyze your data.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to R

What You Will Learn

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You’ll also learn to use boosted trees, a powerful machine learning technique that uses ensemble learning to build high-performing predictive models

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You'll work with health and credit risk data to predict the incidence of diabetes and customer churn

Course Instructors

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Gabriela de Queiroz

Data Scientist and founder of R-Ladies

Gabriela de Queiroz is a Data Scientist and the founder of R-Ladies, a world-wide organization for promoting diversity in the R community. She likes to mentor and share her knowledge through mentor...
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Erin L.

Chief Machine Learning Scientist at H2O.ai

Instructor at DataCamp

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover

$12

$6

49% OFF

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