CumulusUtils
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Updated
Apr 16, 2025 - C#
CumulusUtils
Machine learning model to predict the Fire Weather Index (FWI) from meteorological data for forest fire risk assessment.
This project uses the Algerian Forest Fires dataset from the UCI Machine Learning Repository to predict fire risk using linear regression. The dataset includes temperature, humidity, wind, rain, and Fire Weather Index (FWI) components recorded across two Algerian regions. The project includes EDA, feature engineering, model training, & evaluations.
ArcGIS Toolbox for Fire Danger Rating System based on the Canadian Forest Fire Weather Index System
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