YES, you can plot multinomial features. If your dataset has more than 3 independent features, then using principal component analysis (PCA) is a winner. Let’s see how to do this in Matlab.

Berg and Bush 2017

Our dataset


SVM’s are great for classifying data you do see many binomial examples out there. Here is a good multinomial example in Matlab for you…

Sani2C 2017

Let’s start with a good dataset.


SVM is a good alternative to logistics regression when classifying a dataset. Being used for both linear and non-linear classifications, it is well looked after in both Matlab and Python.

The basics


  1. Forward propagation
  2. Backward propagation
  3. Calculate cost & gradient
  4. Calculate gradient

  1. Forward propagation
  2. Backward propagation
  3. Calculate cost & gradient


  1. Forward propagation
  2. Backward propagation
  3. Calculate cost & gradient

  1. Forward propagation
  2. Backward propagation
  3. Calculate cost & gradient




Shaun Enslin

I started www.rapidtrade.com many years ago and love my job. Coding, technology and data are my passions. Oh, and some crypto trading and cycling on the side

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