A curated list of data mining papers about fraud detection.
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Updated
Mar 16, 2024 - Python
A curated list of data mining papers about fraud detection.
Scorecard Development in python, 评分卡
ESC Team's credit scorecard tools.
Open solution to the Home Credit Default Risk challenge 🏡
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
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
Fair ML in credit scoring: Assessment, implementation and profit implications
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
天池大数据竞赛 千里马大赛 风险识别与预测赛题 Top5
Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
[WIP] Unofficial Python wrapper around the JengaAPIs that are pre-integrated into the financial, identity, credit and payment systems across Africa.
REST-API for credit scoring with random forest classifier
Tool demonstrating building credit risk models
Our underwriting python module for underwriting credit card accounts. For enterprise partners wanting to do their own underwriting in-house.
Payment Score API - Standardizing credit scoring in Africa and beyond
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