ESC Team's credit scorecard tools.
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Updated
Jul 10, 2024 - Python
ESC Team's credit scorecard tools.
Open solution to the Home Credit Default Risk challenge 🏡
Statistical analysis and visualization of state transition phenomena
scikit-learn compatible tools for building credit risk acceptance models
A python framework for risk scoring
A Python library for generating analytic tests for credit portfolio loss distributions
A LLM training and evaluation benchmark for credit scoring
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
Weight of Evidence,基于iv值最大思想求最优分箱
Machine learning for financial risk management
Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.
Demonstrating technical elements in support of open source securitisation frameworks
Reverse engineering of the FICO algorithm
In this project we try to predict home credit default risk for clients. We try to predict, if the client will have payment difficulties or not.
A public repository to facilitate the discussion / development of OpenCPM
在完成机器学习课程后,自己针对GBDT,XGboost等在反欺诈/反洗钱领域常用的模型再进行了自学所做出的结果,对课上的作业项目代码进行了进一步的提升和优化。
MSc Dissertation on Credit Risk Modeling
Our underwriting python module for underwriting credit card accounts. For enterprise partners wanting to do their own underwriting in-house.
Tool demonstrating building credit risk models
Roll Rate Analysis python package. Both month over month and snapshot roll rate functionalities are supported. It utilizes Polars library for optimization and speed.
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