Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Online Access: | https://doi.org/10.5281/zenodo.18067349 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <p>This release contains the source code corresponding to the study:</p> <p>"Constructing a forecasting model for COVID-19 outbreak based on meteorological parameters using machine learning techniques."</p> <h3>Contents</h3> <ul> <li>Data preprocessing scripts</li> <li>Feature engineering modules</li> <li>Machine learning models (Regression and Ensemble methods)</li> <li>Model evaluation and visualization scripts</li> </ul> <h3>Purpose</h3> <p>The code supports reproducibility of the proposed forecasting framework and can be used for:</p> <ul> <li>Climate-based COVID-19 prediction</li> <li>Machine learning experimentation</li> <li>Academic and research purposes</li> </ul> <h3>Version</h3> <p>v1.0 – Initial public release</p>