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credit-scoring-using-machine-learning-techniques icon credit-scoring-using-machine-learning-techniques

Credit Score is a numerical expression which analyze the creditworthiness of any individual. Credit scoring becomes important as it help the bank workers to estimate whether the individual qualifies for a loan or not. The bank workers receive a large number of credit application on daily basis it is impossible to analyze this huge amount of data in terms of both economic as well as manpower so we apply various data mining techniques to check the creditability of the applicant. The aim of this study is focused on techniques that are used to check the probability of the defaulter credit applicant as well as the method by which the accuracy could be increased. In this paper, various machine learning classification techniques along with artificial neural network has been applied to identify the best technique that could be used for credit scoring.

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