Support Vector Machines in R, Short Course | Part time online | Data Camp | United States
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Support Vector Machines in R

1 days
Duration
Free
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Tuition fee
Anytime
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About

This Support Vector Machines in R course at Data Camp will introduce a powerful classifier, the support vector machine (SVM) using an intuitive, visual approach.

Overview

Context

Support Vector Machines in R course at Data Camp 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.

Programme Structure

Chapters

  • Support Vector Classifiers - Linear Kernels
  • Polynomial Kernels
  • Radial Basis Function Kernels

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

PREREQUISITES

  • Introduction to R

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing

Funding

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