Banking dataset that helps running a campaign.
how do banks select target customers so that chances of selling their product maximize, this will help you understand these things.
Try to build a classification model that predicts if the customer will buy the product or not!
Age group:
10 - 19 = 1
20 - 29 = 2
30 - 39 = 3
40 - 49 = 4
50 - 59 = 5
60 - 69 = 6
70 - 79 = 7
80 - 89 = 8
90 - 99 = 9