An ABC bank has collected customer campaign responses. Based on the responses, the bank wishes to offer them various offers. The data of customer responses are stored in a file bank.csv file. The file contains the following variables:

a) Age

b) Job

c) Marital status

d) Education

e) Default

f) Balance amount (INR)

g) Housing loan

h) Personal loan

i) Current campaign

j) Previous campaign

k) Subscribed

Campaign manager of the Bank would like to understand performance old campaigns. He has the following challenges in mind to solve for effective decision about future campaign. Answer the following using Python Software(Anaconda/IBM cloud).

1) Perform Exploratory Data Analysis:

a. Identify the data class of each of the variables

b. Find the NULL values in each of the variable. If found, replace the suitable data ir remove the records.

c. Display number of subscribed and un-subscribed customers in bar chart

2) Develop a Logistic Regression based Predictive Model to find whether a new customer will subscribe or not_subscribe using Machine Learning approach. Consider 80% training data and 20% testing data.