#Credit-risk

Showing 10 of 10 repositories tagged #credit-risk, ranked by stars

amphibian-dev
amphibian-dev
toad

ESC Team's credit scorecard tools.

Score
100
★ 527 ⑂ 183 +1/day
Python
minerva-ml
minerva-ml
open-solution-home-credit

Open solution to the Home Credit Default Risk challenge :house_with_garden:

Score
50
★ 465 ⑂ 171
Python
jalajthanaki
jalajthanaki
credit-risk-modelling

Credit Risk analysis by using Python and ML

Score
100
★ 180 ⑂ 116
Jupyter Notebook
vishnukanduri
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.

Score
0
★ 100 ⑂ 36
Jupyter Notebook
levist7
levist7
Credit_Risk_Modelling

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

Score
0
★ 82 ⑂ 37
Jupyter Notebook
Turkish-AI-Community
Turkish-AI-Community
hsd-agu-egitim

HSD AGÜ From Model to Agent Mini Bootcamp Proje ve Eğitim Dokümanları

Score
0
★ 35 ⑂ 1
Jupyter Notebook
wangy8989
wangy8989
Bankruptcy-Prediction-using-Machine-Learning

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

Score
0
★ 33 ⑂ 7
Jupyter Notebook
AyushBinjola1
AyushBinjola1
EveryRupee

Role-based fintech workspace for retail users, businesses & advisors. Statement parsing, GST invoicing, credit risk scoring & AI finance sandbox. Built with React, FastAPI & Supabase.

Score
100
★ 16 ⑂ 1
TypeScript
open-risk
open-risk
openSecuritisation

Demonstrating technical elements in support of open source securitisation frameworks

Score
50
★ 15 ⑂ 7
Python
aimaster-dev
aimaster-dev
default_loan_prediction

This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with predictive analytics, model evaluation, explainability (SHAP), and deployment readiness.

Score
0
★ 12 ⑂ 1
JavaScript
Related Topics
#python#machine-learning#credit-scoring#python3#lightgbm#xgboost#numpy#pandas#fintech#data-analysis#financial-analysis#scorecard

© 2026 GitRepoTrend · GitHub repositories by topic · Updated weekly