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
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Clone the repository:
git clone https://github.com/yourusername/supplier-selection-model.git
1 maintainer
Metadata
1 maintainer
Release files for SupplierSelection 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| SupplierSelection-0.1.0.tar.gz | 1.6 kB | Details |
Release files / SupplierSelection-0.1.0.tar.gz
| Download URL | SupplierSelection-0.1.0.tar.gz |
|---|---|
| Size | 1.6 kB |
| Tags | Source |
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