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Support Vector Machines in R

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5

(3)

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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 introduces the powerful classifier, the support vector machine (SVM), through an intuitive and visual approach. Students will learn how support vector machines work in R. They'll also get to use the e1071 program R libsvm. Students will be able to understand concepts like hard and flexible margins, kernel tricks and different types of kernels. They also learn how to tune SVM parameters. This model allows you to classify data.

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Highlights

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Pedagogy

Top 30 Percentile

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Rating & Reviews

Top 30 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

This course will introduce the support vector machine (SVM) using an intuitive, visual approach

Introduces students to the basic concepts of support vector machines by applying the svm algorithm to a dataset that is linearly separable

Course Instructors

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Kailash Awati

Senior Lecturer at University of Technology Sydney.

Kailash Awati is co-founder and principal of Sensanalytics, a consultancy specializing in sensemaking and analytics. He is also on the academic staff at the University of Technology Sydney where he t...

Course Reviews

Average Rating Based on 3 reviews

5.0

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