About this document

ISAT 600: Air and Water Pollution Modeling by Shiron Thalagala is a document available to read on EtoBox.

The project focuses on using machine learning to model and predict air and water pollution in the Lake Maurepas region through a multi-phase methodology including data collection, feature engineering, model development, and deployment. Real-time and historical data will be gathered from various sources, and machine learning models will be trained to improve predictive accuracy while ensuring model interpretability and stability. The final models will be deployed on a cloud-based platform for real-time monit

Author

Shiron Thalagala

Language

EN