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Support Vector Machines in R

Intermediate
4.8+
20 reviews
Updated 05/2025
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
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RMachine Learning4 hours13 videos47 Exercises3,950 XP10,524Statement of Accomplishment

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Course Description

This course will introduce a powerful classifier, the support vector machine (SVM) using an intuitive, visual approach. Support Vector Machines in R will help students develop an understanding of the SVM model as a classifier and gain practical experience using R’s libsvm implementation from the e1071 package. Along the way, students will gain an intuitive understanding of important concepts, such as hard and soft margins, the kernel trick, different types of kernels, and how to tune SVM parameters. Get ready to classify data with this impressive model.

Prerequisites

Introduction to R
1

Introduction

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2

Support Vector Classifiers - Linear Kernels

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3

Polynomial Kernels

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4

Radial Basis Function Kernels

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Support Vector Machines in R
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Don’t just take our word for it

*4.8
from 20 reviews
85%
15%
0%
0%
0%
  • Jie
    about 15 hours

  • Ahmed
    4 days

    it was awesome

  • Quyen Di
    9 days

  • Tracy
    12 days

  • Andrew
    13 days

  • Alex
    15 days

Jie

"it was awesome"

Ahmed

Quyen Di

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