Topic: credit-risk Goto Github
Some thing interesting about credit-risk
Some thing interesting about credit-risk
credit-risk,Roll Rate Analysis python package. Both month over month and snapshot roll rate functionalities are supported. It utilizes Polars library for optimization and speed.
User: alexliap
Home Page: https://alexliap.github.io/roll_rate_analysis/
credit-risk,ESC Team's credit scorecard tools.
Organization: amphibian-dev
Home Page: https://toad.readthedocs.io
credit-risk,Credit Card Fraud Detection Project
User: ashutosh27ind
credit-risk,[Project repo] Improving business with a credit risk model
User: brunokatekawa
credit-risk,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.
User: chengchen-steven
credit-risk,Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.
User: chentahung
Home Page: https://pypi.org/project/MOBPY/
credit-risk,The project involved developing a credit risk default model on Indian companies using the performance data of several companies to predict whether a company is going to default on upcoming loan payments.
User: chetandudhane
credit-risk,A LLM training and evaluation benchmark for credit scoring
Organization: colfeng
credit-risk,Evaluate the performance of multiple machine learning models using sampling and ensemble techniques and making a recommendation on whether they should be used to predict credit risk.
User: deving789
credit-risk,The objective of this project is to predict credit score of the borrowers using logistic regression and provide threshold cut-off recommendation
User: erlndofebri
credit-risk,Curriculum for Finance
User: hendrirach
Home Page: http://financemasters.net
credit-risk,scikit-learn compatible tools for building credit risk acceptance models
Organization: ing-bank
Home Page: https://ing-bank.github.io/skorecard/
credit-risk,Credit Risk analysis by using Python and ML
User: jalajthanaki
credit-risk,This is our second project at neuefische DS Bootcamp. Silas Mederer (https://github.com/sls-mdr) and me applied different ML models and for credit default prediction of the P2P platform Lending Club.
User: jb-ds2020
credit-risk,Supervised discretization in Rust
User: jinlow
credit-risk,A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
User: joymnyaga
credit-risk,Our underwriting python module for underwriting credit card accounts. For enterprise partners wanting to do their own underwriting in-house.
Organization: kapedinc
credit-risk,An R package for building state transition matrices
Organization: ketchbrookanalytics
Home Page: https://ketchbrookanalytics.github.io/migrate/
credit-risk,Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
User: lakshmidrip
Home Page: https://lakshmidrip.github.io/DROP/
credit-risk,Reverse engineering of the FICO algorithm
User: mfow
Home Page: https://medium.com/@mfow/reverse-engineering-fico-8-d2d68315d20
credit-risk,Open solution to the Home Credit Default Risk challenge :house_with_garden:
Organization: minerva-ml
Home Page: https://www.kaggle.com/c/home-credit-default-risk
credit-risk,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.
User: naenumtou
credit-risk,Credit Card Fraud Detection using Logistic Regression on credit card dataset
User: nano-bot01
credit-risk,Financial risks of bonds
User: nchukalovskiy
credit-risk,MSc Dissertation on Credit Risk Modeling
User: nobelv
credit-risk,A public repository to facilitate the discussion / development of OpenCPM
User: open-risk
Home Page: https://www.openriskmanagement.com/categories/opencpm/
credit-risk,openNPL is an open source platform for the management of non-performing loans
User: open-risk
Home Page: https://www.openriskmanagement.com/opennpl-open-source-npl-platform-first-release/
credit-risk,A python framework for risk scoring
User: open-risk
Home Page: https://www.openriskmanagement.com
credit-risk,Demonstrating technical elements in support of open source securitisation frameworks
User: open-risk
Home Page: https://www.openriskmanagement.com/tags/securitisation/
credit-risk,A Python library for generating analytic tests for credit portfolio loss distributions
User: open-risk
Home Page: https://www.openriskmanagement.com
credit-risk,Statistical analysis and visualization of state transition phenomena
User: open-risk
Home Page: https://www.openriskmanagement.com/tags/transition-matrix/
credit-risk,A mirror of the Open Risk white paper collection
User: open-risk
Home Page: https://www.openriskmanagement.com/open-risk-white-papers/
credit-risk,Tool demonstrating building credit risk models
User: pkiage
Home Page: https://huggingface.co/spaces/pkiage/credit_risk_modeling_demo
credit-risk,Application of Markov Chain in Finance
User: punitzen
credit-risk,Final work report of Google Summer of Code 2021 with Hydra Ecosystem
User: purvanshsingh
Home Page: https://summerofcode.withgoogle.com/projects/#4830252137709568
credit-risk,Should you get a loan? Will you pay on time?
User: sahidul-shaikh
credit-risk,A short course on survival analysis applied to the financial industry
User: sestelo
credit-risk,Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)
User: shawn-y-sun
credit-risk,Machine learning for financial risk management
User: siruiji
Home Page: https://www.oreilly.com/library/view/machine-learning-for/9781492085249/
credit-risk,Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
User: statcompute
credit-risk,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.
User: vishnukanduri
credit-risk,Objective of this competition is to use historical loan application data to predict whether or not an applicant will be able to repay a loan.
User: vjgpt
Home Page: https://www.kaggle.com/vjgupta/large-dataset-with-simple-model-home-credit
credit-risk,Using various machine learning models to predict whether a company will go bankrupt
User: wangy8989
credit-risk,Credit scoring modeling toolbox based on R
User: xxzcool
credit-risk,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.
User: yakupkaplan
credit-risk,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。
User: yungfuu
credit-risk,Weight of Evidence,基于iv值最大**求最优分箱
User: zhaoxingfeng
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