CONSUMER CREDITS AND MACHINE LEARNING

Abstract

The fusion of consumer credit analysis with machine learning algorithms has revolutionized credit risk assessment, providing banks with more efficient and reliable methods for evaluating creditworthiness. By leveraging these advanced techniques, banks can enhance their risk management practices, reduce the ratio of non-performing loans, and ultimately contribute to their profitability and stability in the financial market. As machine learning continues to evolve, it is likely to play an increasingly critical role in the financial sector and beyond.