https://github.com/karimosman89/credit-scoring

Evaluate the creditworthiness of individuals.Develop a credit scoring model that evaluates the creditworthiness of individuals based on historical data.Help financial institutions assess risk more accurately.
https://github.com/karimosman89/credit-scoring

decision-trees ensemble-methods logistic-regression pandas python scikit-learn

Last synced: 23 days ago
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Evaluate the creditworthiness of individuals.Develop a credit scoring model that evaluates the creditworthiness of individuals based on historical data.Help financial institutions assess risk more accurately.

• Host: GitHub
• URL: https://github.com/karimosman89/credit-scoring
• Owner: karimosman89
• License: mit
• Created: 2024-10-31T12:07:36.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-05T15:01:17.000Z (3 months ago)
• Last Synced: 2024-11-18T06:19:58.323Z (3 months ago)
• Topics: decision-trees, ensemble-methods, logistic-regression, pandas, python, scikit-learn
• Language: Common Lisp
• Homepage:
• Size: 23.4 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Credit Scoring System

This project evaluates the creditworthiness of individuals.

## Overview

The model predicts credit scores based on historical data.

## Dataset

- Source: [UCI Credit Approval Dataset](https://archive.ics.uci.edu/ml/datasets/credit+approval)

## Setup

Install dependencies:

    pip install -r requirements.txt

## Usage

- Run the preprocessing script:

        python src/preprocess.py

    

- Train the model:

        python src/model.py