GitHub - Tech-sculpt/Credit-Scoring: Credit Scoring using Python involves creating models to evaluate creditworthiness by analyzing financial data and payment history. Python libraries like scikit-learn and pandas are used to develop, train, and validate these models, helping lenders assess risk and make informed lending decisions.

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Credit Scoring using Python involves creating models to evaluate creditworthiness by analyzing financial data and payment history. Python libraries like scikit-learn and pandas are used to develop, train, and validate these models, helping lenders assess risk and make informed lending decisions.