This project aims to predict whether new applicants should be given a loan based on historical application and loan performance data. The solution leverages machine learning techniques to identify patterns and insights that can guide future lending decisions.
Description: Contains application data for every customer that has been given a loan in a 6-month period. Features: Customer ID Application Date Applicant Information (e.g., age, income, employment status) Loan Details (e.g., amount requested, purpose)
Description: Contains data on every loan given in the same 6-month period and whether it has been a good loan or a bad loan. Features: Customer ID Loan ID Performance Indicator (Good/Bad) Repayment Information
git clone https://github.com/yourusername/loan-approval-prediction.git
pip install -r requirements.txt
Contributions are welcome! Please open an issue or submit a pull request for any features, bug fixes, or enhancements.
This project is licensed under the Apache License. See the LICENSE file for details.