Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
linear. With polynomial kernels, you’re projecting the original feature space into a polynomial feature space. So the decision boundary that separates the classes is defined with a higher order polynomial. The use of kernels is what distinguishes support vector classifiers from support vector