Popular GitHub Repositories for Loan Default Prediction

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

Applying machine learning to predict loan charge-offs on LendingClub.com

datawhale&科大讯飞举办的学习挑战赛————“车辆贷款违约预测挑战赛” Rank4 方案

The goal of this project is to build a Deep Learning model using ANN to predict if a person will default on the loan based on the loan and personal information provided.

Predict loan defaults using ML. Leverage Logistic Regression, Random Forest, XGBoost. Preprocess data, train models, analyze features. Make informed lending decisions. Jupyter Notebook and code.

India ML Hiring Hackathon by Analytics Vidya. Analytics Vidhya is proud to present the "India Machine Learning Hiring Hackathon- 2019" - India's Largest Hiring Hackathon where every data science aspirant and professional will get an opportunity to showcase their talent

This project aims to build an end-to-end loan default prediction system for a Non-Banking Financial Institution (NBFI). The system is designed to ingest, clean, process, and predict loan default probabilities while ensuring model deployment, monitoring, and automated CI/CD.

本项目构建了一个预测模型，用于评估零售银行个人贷款的违约风险。它利用 MLOps 管道，确保模型能够高效、可扩展且可靠地部署在 AWS 上，并使用 Streamlit 创建用户界面。项目包含实验跟踪、模型调优和容器化等功能。