default-prediction
Here are 15 public repositories matching this topic...
Language:All
Sort:Most stars
Classification model to predict the probability that a customer defaults based on their monthly customer statements using the data provided by American Express.
- Updated
Apr 28, 2023 - Jupyter Notebook
Machine learning model to identify customers that are more likely to default based on employment, bank balance and annual salary.
- Updated
Aug 18, 2022 - Jupyter Notebook
Logistic regression-based credit scoring model using public Kaggle data, designed for transparent PD estimation, performance evaluation, and teaching or regulatory use cases.
- Updated
May 28, 2025 - Jupyter Notebook
Working with an industrial scale data set to build a classification model to predict credit card default, and help creating a better customer experience for cardholders.
- Updated
Sep 1, 2022 - Jupyter Notebook
In this project, task is to help banking organization to identify the right customers using predictive models. Using past data of the bank’s applicants, you need to determine the factors affecting credit risk, create strategies to mitigate the acquisition risk and assess the financial benefit of the project.
- Updated
May 8, 2023 - Jupyter Notebook
The goal of this project is to perform default prediction for commercial real estate property loans based on 17 variables.
- Updated
Feb 19, 2023 - Jupyter Notebook
A program to take in loan level data and create a model which can predict probability of default
- Updated
May 21, 2020 - Python
Finance and Risk Analytics Project: Predicting credit default risk using machine learning models (Logistic Regression, Random Forest) and assessing stock market risk through historical returns and volatility analysis to guide financial risk management and investment strategies.
- Updated
Nov 8, 2024 - Jupyter Notebook
Advanced Probability of Default (PD) Model
- Updated
Jun 2, 2025 - HTML
Amex Default Prediction
- Updated
Dec 6, 2022 - Jupyter Notebook
Machine Learning analysis on R to predict customer defaults
- Updated
Jan 11, 2023
Predictive analytics project for loan default risk using deep learning. Compares ANN with Random Forest and XGBoost on LendingClub data, achieving high accuracy in identifying potential defaulters.
- Updated
Jun 10, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to thedefault-prediction topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thedefault-prediction topic, visit your repo's landing page and select "manage topics."