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| Image Source: Irish Times |
BACKGROUND
Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many inquiries on an individual's credit report, for example. Manually analyzing these applications is mundane, error-prone, and time-consuming (and time is money!). Luckily, this task can be automated with the power of machine learning and pretty much every commercial bank does so nowadays.
DATA
The data used in this project is Credit Card Approval dataset from the UCI Machine Learning Repository.
DETAILS
A full version can be found on DataCamp website.
