Credit risk modeling is a useful model in the banking industry aimed at minimizing the credit risk defaulting cases through the use of various machine learning techniques.
The core objective of Banking institutions is to lend loans to individuals & companies that need capital. Despite the fact that it is hard to predict who would default, correctly evaluating and managing credit risk can decrease the severity of a loss.
Hence, banks can gain an advantage by using credit risk models by understanding the factors which causes such cases and creating a model to predict any future credit default case to prevent losses.
Learn to apply numerous machine learning techniques to create an accurate prediction model for credit defaults.
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