It is understood that the probability of risk in the loan lending process by the bank is high . Throughout the banking community, the lenders are in constant risk of a loan borrower defaulting upon their loan . In order to minimize the risk, proper evaluation and verifications are done by the banks to check the repaying ability of the borrower. In the machine learning world, this problem is formulated as a supervised machine learning task in which the bank loan defaulter is predicted automatically by training the classifiers on the historical loan data by using the machine learning algorithms.
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The objective of this project is to predict whether a loan will be a default or not based on historical data of loans disbursed and whether banks should continue to lend to customers with a similar profile.
AmbrishAdithiya/Bank-Loan-Defaulter-Prediction
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The objective of this project is to predict whether a loan will be a default or not based on historical data of loans disbursed and whether banks should continue to lend to customers with a similar profile.
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