Commercial banks receive many credit card applications, rejecting some due to high loan balances, low income, or too many credit inquiries. Manually reviewing these is slow and error-prone, so banks automate the process with machine learning. This project builds a model to predict credit card approvals efficiently.
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Commercial banks receive many credit card applications, rejecting some due to high loan balances, low income, or too many credit inquiries. Manually reviewing these is slow and error-prone, so banks automate the process with machine learning. This project builds a model to predict credit card approvals efficiently.
ThisIsTPM/Credit-Card-Approval
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Commercial banks receive many credit card applications, rejecting some due to high loan balances, low income, or too many credit inquiries. Manually reviewing these is slow and error-prone, so banks automate the process with machine learning. This project builds a model to predict credit card approvals efficiently.
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