Dataset: JOB-A-THON - May 2021- Credit Card Lead Prediction

About this Dataset

JOB-A-THON - May 2021- Credit Card Lead Prediction

Credit Card Lead Prediction

Happy Customer Bank is a mid-sized private bank that deals in all kinds of banking products, like Savings accounts, Current accounts, investment products, credit products, among other offerings.

The bank also cross-sells products to its existing customers and to do so they use different kinds of communication like telecasting, e-mails, recommendations on net banking, mobile banking, etc.

In this case, the Happy Customer Bank wants to cross-sell its credit cards to its existing customers. The bank has identified a set of customers that are eligible for taking these credit cards.

Now, the bank is looking for your help in identifying customers that could show higher intent towards a recommended credit card, given:

This dataset was part of May 2021 Jobathon conducted my analytics vidhya, for more info check:https://datahack.analyticsvidhya.com/contest/job-a-thon-2/

Tables

Sample Submission

@kaggle.sajidhussain3_jobathon_may_2021_credit_card_lead_prediction.sample_submission

1.17 MB
105312 rows
2 columns


CREATE TABLE sample_submission (
  "id" VARCHAR,
  "is_lead" BIGINT
);

Test

@kaggle.sajidhussain3_jobathon_may_2021_credit_card_lead_prediction.test

2.1 MB
105312 rows
10 columns


CREATE TABLE test (
  "id" VARCHAR,
  "gender" VARCHAR,
  "age" BIGINT,
  "region_code" VARCHAR,
  "occupation" VARCHAR,
  "channel_code" VARCHAR,
  "vintage" BIGINT,
  "credit_product" VARCHAR,
  "avg_account_balance" BIGINT,
  "is_active" VARCHAR
);

Train

@kaggle.sajidhussain3_jobathon_may_2021_credit_card_lead_prediction.train

4.51 MB
245725 rows
11 columns


CREATE TABLE train (
  "id" VARCHAR,
  "gender" VARCHAR,
  "age" BIGINT,
  "region_code" VARCHAR,
  "occupation" VARCHAR,
  "channel_code" VARCHAR,
  "vintage" BIGINT,
  "credit_product" VARCHAR,
  "avg_account_balance" BIGINT,
  "is_active" VARCHAR,
  "is_lead" BIGINT
);