A curated list of data mining papers about fraud detection.

Scorecard Development in python, 评分卡

ESC Team's credit scorecard tools.

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

Open solution to the Home Credit Default Risk challenge 🏡

Tools for WoE Transformation mostly used in ScoreCard Model for credit rating

Scorecard Development in R, 评分卡

A collection of awesome papers, articles and various resources on credit and credit risk modeling

Amazon SageMaker Solution for explaining credit decisions.

国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)

Statistical analysis and visualization of state transition phenomena

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

Fair ML in credit scoring: Assessment, implementation and profit implications

Analytics labs notebooks for Statistics and Business School students

Implementation of Genetic Algorithm for feature selection of neural networks proposed by Genetic algorithm-based heuristic for feature selection in credit risk assessment paper.

openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as standalone library and in a federated learning context where data remain in distinct (separate) servers

Predicting the default customers

Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.