a$)$ What is the role of Kernel in SVM$?$ Explain the different types of popular Kernel functions in SVM$.$

b$)$ Why SVM is called Large Margin Classifier? Briefly explain.

c$)$ What is the role of hyper$-$parameter C in SVM$?$ Does it affect bias$/$variance$?$

d$)$ What is the role Gaussian Kernels parameter? Does it affect bias$/$variance$?$

e$)$ Compare the Logistic Regression and SVM approach based on the number of features and training dataset

size.

f$)$ What is Linear Kernel in SVM$?$ Explain the use of this kernel in SVM$.$