/Support-Vector-Machine

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Support-Vector-Machines

In this project we use the built-in dataset which is available in Sckit-learn and Seaborn library.

SVM

-->This model gives the better optimization by adjusting the parameters using the GRID SEARCH CV.
   Here CV means Cross Validation
   
-->If suppose we are unable to draw optimal hyperplane.It's neccessary to use KERNEL to convert 1-D view of data to 2-D view.

-->It allows us to operate in the original feature space without computing the coordinates of the data in a higher dimensional space.