GitHub - anthonyli01/Loan-Default-Prediction: University Project: building a random forest to predict loan defaults. This involves data processing, standardization, optimization, performance metrics, and model analysis.

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University Project: building a random forest to predict loan defaults. This involves data processing, standardization, optimization, performance metrics, and model analysis.

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University Project: building a random forest to predict loan defaults. This involves data processing, standardization, optimization, performance metrics, and model analysis.

visualization machine-learning random-forest optimization performance-metrics confusion-matrix data-processing one-hot-encoding

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