Implementation of the Polynomial String Kernel and linear time String Kernel implementation. Compatible and ready for easy plug-in to Scikit-Learn's Support Vector Machines and supports multithreading.

Code templates for data prep and different ML algorithms in Python.

This code reads a dataset i.e, "Heart.csv". Preprocessing of dataset is done and we divide the dataset into training and testing datasets. Linear, rbf and Polynomial kernel SVC are applied and accuracy scores are calculated on the test data. Also, a graph is plotted to show change of accuracy with change in "C" value.