Support Vector Machine with Kernel

Step by step: Example from banking.csv data set. In machine learning there are two types of algorithms. So, the SVM is a very powerful and flexible supervised machine learning algorithm. Today with the growth of machine learning applications the Support vector machines are used in large amount of applications. The major advantage why we using SVMs on above application is it can handle both "classification" and "regression" on both "linear" and "non-linear" data.