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Felix-Red/LoanStatusPredicationWebApp

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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

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.

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