Loan Status Prediction Project

Description

This project predicts loan approval status based on applicant data using machine learning. It includes data preprocessing, model training, and a web interface for predictions.

Project Structure

Root Directory

• loan_prediction.csv: Dataset containing loan applicant information and approval status.
• main.py: Main Python script for running the Flask web application and handling predictions.
• request.py: Module for handling API requests or data processing utilities.
• requirements.txt: List of Python dependencies required for the project.
• README.md: This file, providing project overview and instructions.

notebook/

• Loan Prediction Project.ipynb: Jupyter notebook containing exploratory data analysis, model training, and evaluation.

templates/

• index.html: Home page template for the web application.
• prediction.html: Template for displaying prediction results.
• style.css: CSS styles for the web interface.

Installation

1. Clone the repository.
2. Install dependencies: pip install -r requirements.txt
3. Run the application: python main.py

Usage

• Access the web app at http://localhost:5000 (assuming Flask default port).
• Upload or input applicant data to get loan approval predictions.

Contributing

Feel free to submit issues or pull requests.