Back to Projects
Project Overview
Developed as part of a machine learning coursework, this project uses linear regression to forecast the required number of bottled Zamzam water units at distribution points in Makkah. It considers variables such as temperature, time of day, and number of pilgrims. The project includes data preprocessing, feature engineering, and model evaluation to support accurate, data-driven decisions for resource allocation.
Project Files
HTML File
Downloading is not permitted without the owner's permission.
Project Details
- Completion Date May 2025
- Category Machine Learning
- Project Type HTML File
Project Preview
