Hands On Training

Tree-Based Models in R

Name: Tree-Based Models in R
Brand: Careervira
Price: 218 AUD
Availability: InStock
Rating: 1 (1 reviews)

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DataCamp

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

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

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to R

What You Will Learn

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

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

Course Content

Expand all sections

Module 1: Classification Trees

Module 2: Regression Trees and Cross-Validation

Module 3: Hyperparameters and Ensemble Models

Module 4: Boosted Trees

Course Instructors

Erin L.

Chief Machine Learning Scientist at H2O.ai

Instructor at DataCamp

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...