a) What is overfitting problem? How does regularization solve the overfitting problem? Explain Explain with example. [Hint: Ridge regression] (3 + 5 marks)

b) What is logistic function? Why do you need to use logistic function in linear regression? Explain with example. (2 + 5 marks)

c) Explain the concept of bias-variance trade-off. What will be the effect on bias if we regularize the weights in linear/logistic regression model? Explain in brief. (5 + 5 marks)