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Tree-Based Models in R

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Course Report - Tree-Based Models in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Pedagogy

Top 10 Percentile

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Parameters

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Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

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

Introduction to R

What You Will Learn

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

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