i need dataset for credit risk detection model for project
Here are some datasets that you can use for your credit risk detection model project:
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Credit Risk Dataset on Kaggle: This dataset contains simulated credit bureau data that can be useful for various analyses related to credit risk. You can access it here.
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Datasets for Credit Risk Modeling - ListenData: This resource outlines several free publicly available datasets suitable for credit risk modeling. It provides various options for researchers and practitioners. You can find it here.
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Credit Risk Analysis on Kaggle: This dataset contains the credit history of customers from a financial institution, aimed at predicting potential credit defaulters. It can be accessed here.
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Credit Analytics Dataset - S&P Global Marketplace: This dataset offers timely, pre-scored information that helps identify weakening credit and fortifies the analyst surveillance process. You can explore it here.
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CreditRisk Dataset - Papers With Code: This dataset includes credit scores and loan repayment rates (90-day default rate) for individuals categorized by race. Find it here.
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Credit Scoring Data Sets on GitHub: This repository contains commonly used credit score datasets compiled for empirical evaluations, with updates available dynamically. Check it out here.
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Default of Credit Card Clients - UCI Machine Learning Repository: This dataset focuses on customers' default payments in Taiwan and includes comparisons of predictive accuracy among various data mining methods. Access it here.
These resources should provide you with a solid foundation for your credit risk detection model. If you need further assistance, feel free to ask!
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