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https://cran.r-project.org/web/packages/e1071/vignettes/svmdoc.pdf
Support Vector Machines * The Interface to libsvm in package e1071 by David Meyer FH Technikum Wien, Austria [email protected] November 25, 2019 \Hype or Hallelujah?" is the provocative title used byBennett & Campbell (2000) in an overview of Support Vector Machines …
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 ...
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.
https://www.edureka.co/blog/support-vector-machine-in-r/
Support Vector Machine In R: With the exponential growth in AI, Machine Learning is becoming one of the most sort after fields.As the name suggests, Machine Learning is the ability to make machines learn through data by using various Machine Learning Algorithms and in this blog on Support Vector Machine In R, we’ll discuss how the SVM algorithm works, the various features of SVM and how it ...Author: Zulaikha Lateef
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.youtube.com/watch?v=iu9rrCbSqgM
May 05, 2015 · Reference: (Book) An Introduction to Statistical Learning with Applications in R (Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani)Author: Hamed Hasheminia
https://cran.r-project.org/web/packages/e1071/e1071.pdf
Package ‘e1071’ November 26, 2019 Version 1.7-3 Title Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
https://cran.r-project.org/
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