Support Vector Machine: Simplified

Support Vector Machine (SVM) is one of the machine learning algorithms used for supervised problem sets mainly. Some of the other algorithms which can be replaced with SVM are Decision Tree, Random Forest, Neural Network or Logistic Regression, specifically for Binary Classification problems. Due to mathematical complexity involved in SVM algorithm, it is some time difficult for practitioners to understand the Support Vector Machine.

In this blog, we want to take a simple example and work out the Support Vector Machine algorithm steps. Of course, we will not be able to consider all complexities and details, but could be helpful in appreciating the algorithm.

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