Abstract: Loan defaults are a serious concern for given institutions since they lead to huge economic losses, rising non-performing assets (NPAs), and disruption in the lending ecosystem. Prediction ...

The Trump administration is set to resume garnishing the wages of some student loan borrowers who are in default beginning in early 2026, and a leading advocacy group for student loan borrowers is ...

WASHINGTON (AP) — The Trump administration said on Tuesday that it will begin garnishing the wages of student loan borrowers who are in default early next year. The department said it will send ...

The Trump administration will resume garnishing wages from student loan borrowers in default in early 2026, the U.S. Education Department confirmed to NPR. The move comes after a years-long pause in ...

Starting the week of Jan. 7, the Education Department will begin sending notices about paycheck deductions to about 1,000 of five million borrowers in default. By Emmett Lindner The Trump ...

A production-ready machine learning system for loan default prediction using MLflow, FastAPI, and advanced feature engineering. This system transforms raw loan application data into intelligent risk ...

A large number of student loan borrowers have not made payments on their loans since fall 2024, when the post-pandemic relief period for past-due borrowers officially ended, according to the ...

This repository contains a Python project developed for a Deep Learning/AI programming course, aimed at predicting loan defaults using historical data from Lending Club (2007-2015). The model ...