Q$2.$ A bank system has a customer$-$related information table. We like to utilize the in$-$

formation to determine whether we can approve the customer's loan application

with the decision, "Yes" or $"$No$,"$ via a computer model, for example, a classi$-$

fication model. The challenge is that all customers have varying$-$length records.

For instance, customer A has $20$ records, but B has $130$ records.

a How do we form a predictor matrix with the challenge of the above$-$mentioned

varying$-$length records?

b If we have some categoric measurements in the customer records, how do

we handle them in the classification?