Loan Approval Prediction

This project is a machine learning model to predict whether a loan application will be approved, which contains information on over 100,000 loan applications.

The model was developed using a variety of machine learning techniques, including logistic regression, decision trees, and random forests. The best model was found to be a random forest model with an accuracy of 84%.

The model can be used by lenders to help them make more informed decisions about loan applications. It can also be used by borrowers to understand their chances of getting a loan approved.

The project was implemented using Python and the following libraries:

• NumPy
• Pandas
• Scikit-learn
• Matplotlib

The project was developed by our team: https://github.com/dieuhuongngn/Loan.Approval.Prediction