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For the kaggle project - Credit Card Lead Prediction, the repository contains the deployment details, project documentation file and project link.

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moumi-18/credit_card_lead_prediction

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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.

  • ID: Unique Identifier for a row
  • Gender: Gender of the Customer (Male/Female).
  • Age: Age of the Customer (in Years).
  • Region_Code: Code of the Regions of the customers.
  • Occupation: Occupation of the customers.
  • Channel_Code: Acquisition Channel Code for the Customer (Encoded)
  • Vintage: Vintage for the Customer (In Months) - month or quarter in which account was opened (loan/credit card was granted).
  • Credit_Product: If the Customer has any active credit product (Home loan, Personal loan, Credit Card etc.)
  • Avg_Account_Balance: Average Account Balance for the Customer in last 12 Months.
  • Is_Active: If the Customer is Active in last 3 Months.
  • Is_Lead (Target Variable): 0 - Customer is NOT INTERESTED, 1 - Customer IS INTERESTED

Project Documentation File: classification project CCLP documentation.pdf

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For the kaggle project - Credit Card Lead Prediction, the repository contains the deployment details, project documentation file and project link.

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