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The dataset includes application data for every customer that has been given a loan in a 6 month period. The other contains every loan that has been given in this time and whether it has been a good loan or a bad loan. Use the data to identify which new applicants should be given a loan in the future.

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Yadukrishnan1/Loan-Application-Prediction

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Loan Approval Prediction

Project Overview

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.

Data Description

Application Data

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)

Loan Performance Data

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

Installation

Clone the repository:

git clone https://github.com/yourusername/loan-approval-prediction.git

Install the required dependencies:

pip install -r requirements.txt

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any features, bug fixes, or enhancements.

License

This project is licensed under the Apache License. See the LICENSE file for details.

About

The dataset includes application data for every customer that has been given a loan in a 6 month period. The other contains every loan that has been given in this time and whether it has been a good loan or a bad loan. Use the data to identify which new applicants should be given a loan in the future.

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