# Supplier Selection Model

## Overview

This repository contains code for a supplier selection model. The model uses machine learning algorithms (Random Forest Regression, Linear Regression, Decision Tree, Gradient Boosting) to predict and rank suppliers based on various criteria.

## Getting Started

### Prerequisites

- Python 3.x
- Required Python packages: pandas, numpy, scikit-learn, statsmodels, matplotlib, seaborn, pyodbc, sqlalchemy, cryptography

### Installation

1. Clone the repository:

   ```bash
   git clone https://github.com/yourusername/supplier-selection-model.git
