Skip to content

The Loan Default Prediction App is a robust web-based tool developed to assess the risk of loan default by analyzing borrower-specific features using machine learning algorithms. Built on a Random Forest model, this app enables financial institutions and credit analysts to make data-driven decisions when evaluating loan applications.

License

Notifications You must be signed in to change notification settings

Owuor7/loan-default

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Loan Default Prediction App Overview The Loan Default Prediction App is a machine learning application designed to predict the likelihood of loan default based on various borrower characteristics. The app leverages a trained predictive model to provide insights into potential default risks, assisting financial institutions in making informed lending decisions.

Features

Predict Loan Default: Enter borrower details to predict the likelihood of default. Model Insights: View model performance metrics and feature importance. Interactive Visualizations: Analyze trends and patterns in loan default data.

Installation Prerequisites Python 3.7 or higher Streamlit Scikit-learn Pandas NumPy Matplotlib Seaborn

About

The Loan Default Prediction App is a robust web-based tool developed to assess the risk of loan default by analyzing borrower-specific features using machine learning algorithms. Built on a Random Forest model, this app enables financial institutions and credit analysts to make data-driven decisions when evaluating loan applications.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages