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Credit-risk-model

Discover a comprehensive approach to constructing credit risk models. We employ various machine learning algorithms like LightGBM and CatBoost, alongside ensemble techniques for robust predictions. Our pipeline emphasizes data integrity, feature relevance, and model stability, crucial elements in credit risk assessment.

apache-parquet catboost-classifier credit-risk-modelling data-aggregation lightgbm memory-optimization pandas polars

Creat：2024-06-20T19:53:50

Update：2024-08-15T20:13:53

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