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https://www.datacamp.com/courses/support-vector-machines-in-r
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 …
https://www.edureka.co/blog/support-vector-machine-in-r/
Non-linear Support Vector Machine – Support Vector Machine In R. This sums up the idea behind Non-linear SVM. To understand the real world applications of Support Vector Machine let’s look at a use case. Use Case – SVM. SVM as a classifier has been used in …Author: Zulaikha Lateef
https://www.academia.edu/5025051/An_Introduction_to_Support_Vector_Machine_and_Implementation_in_R
An Introduction to Support Vector Machine and Implementation in R
https://dataaspirant.com/2017/01/19/support-vector-machine-classifier-implementation-r-caret-package/
Jan 19, 2017 · Support Vector Machine Classifier implementation in R with caret package. In the introduction to support vector machine classifier article, we learned about the key aspects as well as the mathematical foundation behind SVM classifier. In this article, we are going to build a Support Vector Machine Classifier using R programming language.
http://www.machinelearningtutorial.net/2016/12/21/r-kernlab/
Dec 21, 2016 · library(kernlab) x. This snippet imports kernlab, defines our input vectors \(x\) and labels \(y\) and plots them. After defining the data and corresponding labels, we can already implement the Support Vector Machine. To that end, we use the ksvm function of the kernlab package.
https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
Jun 07, 2018 · Introduction. I guess by now you would’ve accustomed yourself with linear regression and logistic regression algorithms. If not, I suggest you have a look at them before moving on to support vector machine. Support vector machine is another simple algorithm that every machine learning expert should have in his/her arsenal.
https://www.geeksforgeeks.org/classifying-data-using-support-vector-machinessvms-in-r/
Note: For details on Classifying using SVM in Python, refer Classifying data using Support Vector Machines(SVMs) in Python. Implementation of SVM in R. Here, an example is taken by importing a dataset of Social network aids from file Social.csv. The implementation is explained in the following steps: Importing the dataset
https://www.r-bloggers.com/machine-learning-using-support-vector-machines/
Apr 19, 2017 · Support Vector Machines (SVM) is a data classification method that separates data using hyperplanes. The concept of SVM is very intuitive and easily understandable. If we have labeled data, SVM can be used to generate multiple separating hyperplanes such that the data space is divided into segments and each segment contains only one kind of … Continue reading Machine Learning Using Support ...
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