credit-risk
There are 324 repositories under credit-risk topic.
amphibian-dev/toad
ESC Team's credit scorecard tools.
minerva-ml/open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
jalajthanaki/credit-risk-modelling
Credit Risk analysis by using Python and ML
lakshmiDRIP/DROP
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
hendrirach/financemasters
Curriculum for Finance
ing-bank/skorecard
scikit-learn compatible tools for building credit risk acceptance models
open-risk/transitionMatrix
Statistical analysis and visualization of state transition phenomena
vishnukanduri/Credit-Risk-Modeling-in-Python
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. Computed Weight of Evidence and price elasticities.
naenumtou/ifrs9
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.
itlubber/scorecardpipeline
scorecardpipeline封装了toad、scorecardpy、optbinning等评分卡建模相关组件，API风格与sklearn高度一致，支持pipeline式端到端评分卡建模、模型报告输出、导出PMML文件、超参数搜索等
statcompute/mob
Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
The-FinAI/CALM
A LLM training and evaluation benchmark for credit scoring
open-risk/openRiskScore
A python framework for risk scoring
open-risk/portfolioAnalytics
A Python library for generating analytic tests for credit portfolio loss distributions
open-risk/openNPL
openNPL is an open source platform for the management of non-performing loans
wangy8989/Bankruptcy-Prediction-using-Machine-Learning
Using various machine learning models to predict whether a company will go bankrupt
joymnyaga/CreditAnalytics-Loan-Prediction
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
shawn-y-sun/Credit_Risk_Model_LoanDefaults
Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)
brunokatekawa/credit_risk
[Project repo] Improving business with a credit risk model
SiruiJi/ml4frm
Machine learning for financial risk management
ChenTaHung/Monotonic-Optimal-Binning
Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.
rubydamodar/Loan-approval-prediction-
Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.
zhaoxingfeng/WOE
Weight of Evidence，基于iv值最大**求最优分箱
punitzen/markov-chain-application-using-python
Application of Markov Chain in Finance
open-risk/openSecuritisation
Demonstrating technical elements in support of open source securitisation frameworks
thabresh-s/Credit-Risk-Analysis
Credit Risk Analysis with Machine Learning
sestelo/sa_financial
A short course on survival analysis applied to the financial industry
Ashutosh27ind/PGDDS-Capstone-Project
Credit Card Fraud Detection Project
levist7/Credit_Risk_Modelling
Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python
mfow/fico
Reverse engineering of the FICO algorithm
open-risk/White_Papers
A mirror of the Open Risk white paper collection
ChengChen-Steven/Fraud-Detection-Credit-Card-Account-Origination
This project commissions to examine the 100,000 credit card application data, detect abnormality and potential fraud in the dataset. All data manipulation and analysis are conducted in R. Featured analysis methods include Principal Component Analysis (PCA), Heuristic Algorithm and Autoencoder.
xxzcool/scoremodel
Credit scoring modeling toolbox based on R
nano-bot01/Credit-Card-Fraud-Detection-
Credit Card Fraud Detection using Logistic Regression on credit card dataset
YungFuu/Loan-Default-Risk-Assessment-Model
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。