https://github.com/felix-red/loanstatuspredicationwebapp

Loan status prediction using machine learning
https://github.com/felix-red/loanstatuspredicationwebapp

machine-learning plotly-dash python webapp

Last synced: about 2 months ago
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Loan status prediction using machine learning

• Host: GitHub
• URL: https://github.com/felix-red/loanstatuspredicationwebapp
• Owner: Felix-Red
• Created: 2024-05-09T09:30:54.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-18T12:11:16.000Z (9 months ago)
• Last Synced: 2024-12-31T23:13:53.992Z (about 2 months ago)
• Topics: machine-learning, plotly-dash, python, webapp
• Language: Jupyter Notebook
• Homepage: https://group-k-project-1-2.onrender.com
• Size: 1.42 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Loan status prediction using machine learning

This project is a machine learning system that employs Support Vector Machines (SVMs) - supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis.

## Overview

In this project, the Support Vector Machine algorithm is utilized for the classification of whether a user is approved for a loan or not. The system analyzes user-provided data to determine loan approval status.

![image of dash app](https://github.com/Felix-Red/Group-k-project-1/blob/main/Screenshot%202024-05-18%20132803.png)

## Usage

This project includes a web application that prompts the user for their details required to determine whether the loan is approved or not. The application can be accessed [System web app](https://group-k-project-1-2.onrender.com).