Sonusrj/ForestFire

A Ridge regression model that predicts the Fire Weather Index (FWI) for the Bejaia and Sidi Bel-abbes regions in Algeria, helping assess forest fire danger based on weather conditions. # FWI Prediction ## About FWI Prediction is a prediction model that utilizes Ridge regression to forecast the Fire Weather Index (FWI) for the Bejaia and Sidi Bel-abbes regions in Algeria. The FWI serves as a crucial metric for assessing fire danger, offering insights into the probability of forest fires based on prevailing weather conditions. ## Features - Utilizes Ridge regression for FWI prediction. - Incorporates various weather factors and FWI components, including: - Temperature - Humidity - Wind speed - Rainfall - Fine Fuel Moisture Code (FFMC) - Duff Moisture Code (DMC) - Drought Code (DC) - Initial Spread Index (ISI) - Buildup Index (BUI) ## Screenshots