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#

credit-risk

Here are 404 public repositories matching this topic...

toad

ESC Team's credit scorecard tools.

  • UpdatedFeb 18, 2025
  • Python

scorecardpipeline封装常用的风控策略分析和评分卡建模相关组件,支持pipeline式端到端评分卡建模、三方数据分析、规则集效果评估、特征有效性分析、excel报告输出、评分卡PMML导出、全流程超参数搜索等功能。核心功能:评分卡,策略分析,风控,规则挖掘,特征筛选,自动分箱

  • UpdatedJul 10, 2025
  • Python

Credit Risk analysis by using Python and ML

  • UpdatedNov 20, 2017
  • Jupyter Notebook
DROP

scikit-learn compatible tools for building credit risk acceptance models

  • UpdatedFeb 9, 2025
  • Python

The full scope of IFRS 9 Impairment models including PD, LGD and EAD are provided. It also covers ECL, which is the combination of those three parameters as well as staging criteria.

  • UpdatedApr 26, 2025
  • Jupyter Notebook

Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Com…

  • UpdatedMar 31, 2020
  • Jupyter Notebook

Statistical analysis and visualization of state transition phenomena

  • UpdatedDec 17, 2024
  • Python

A LLM training and evaluation benchmark for credit scoring

  • UpdatedOct 15, 2023
  • Python

Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development

  • UpdatedNov 7, 2020
  • R

A python framework for risk scoring

  • UpdatedOct 14, 2024
  • Python

A Python library for generating analytic tests for credit portfolio loss distributions

  • UpdatedDec 17, 2024
  • Python

openNPL is an open source platform for the management of loan performance data

  • UpdatedDec 17, 2024
  • JavaScript

Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python

  • UpdatedMar 15, 2023
  • Jupyter Notebook

Using various machine learning models to predict whether a company will go bankrupt

  • UpdatedOct 28, 2022
  • Jupyter Notebook

Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)

  • UpdatedFeb 26, 2024
  • Jupyter Notebook

A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors

  • UpdatedOct 31, 2018
  • Python

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