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