title: SVM classification - normalization in R
body: <p>I want to work with <code>SVM</code> classification. How is it possible to normalize (or scale) the features per column in my dataset before i use the <code>SVM</code> model? </p>
  
  <pre><code>train &lt;- read.csv("train.csv")
  test &lt;- read.csv("test.csv")
  
  svm.fit=svm(as.factor(type)~ ., data=train, core="libsvm",kernel="linear",cross=10, probability=TRUE)
  </code></pre>