Name: Bank Marketing
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Bank Marketing

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

Tables

Bank Marketing

@kaggle.dhirajnirne_bank_marketing.bank_marketing

433.85 KB
45211 rows
23 columns


CREATE TABLE bank_marketing (
  "age" BIGINT,
  "age_group" BIGINT,
  "eligible" VARCHAR,
  "job" VARCHAR,
  "salary" BIGINT,
  "marital" VARCHAR,
  "education" VARCHAR,
  "marital_education" VARCHAR,
  "targeted" VARCHAR,
  "default" VARCHAR,
  "balance" BIGINT,
  "housing" VARCHAR,
  "loan" VARCHAR,
  "contact" VARCHAR,
  "day" BIGINT,
  "month" VARCHAR,
  "duration" BIGINT,
  "campaign" BIGINT,
  "pdays" BIGINT,
  "previous" BIGINT,
  "poutcome" VARCHAR,
  "y" VARCHAR,
  "response" BIGINT
);