Machine Learning Application In Loan Default Prediction

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Financial Distress and Bankruptcy Prediction Banking Sector Performance and Management Customer churn and segmentation

Abstract

In Todays world, most of world population has access to banking services. Consumers has increased many fold in last few years. For the banks, risks related to bank loans has increased especially after The Great Recession (2007–2012) and job threats due to automation and advancement in technologies like artificial intelligence (AI). At the same time technological advancement enabled companies to gather and save huge data which represent the customer’s behavior and the risks around loan.Data Mining is a promising area of data analysis which aims to extract useful knowledge from tremendous amount of complex data sets https://journalnx.com/journal-article/20150641

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2022Dynamic Effectiveness of Random Forest Algorithm in Financial Credit Risk Management for Improving Output Accuracy and Loan Classification Prediction

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