chamathsavindya/algerian-forest-fire

# algerian-forest-fire - This small project demostrates develop web aplication predicting Fire Weather Index using algerian forest fires dataset. - Fire Weather Index is a numerical rating system used to predict and assess the risk of wildfires (forest fires). - The FWI system uses several weather and fuel variables: - Temperature - Higher temperatures increase fire risk - Relative Humidity (RH) - Lower humidity dries out fuels - Wind Speed (Ws) - Stronger winds spread fires faster - Rain - Rainfall reduces fire risk - FFMC (Fine Fuel Moisture Code) - Moisture content of fine fuels (grass, leaves) - DMC (Duff Moisture Code) - Moisture of loosely compacted organic layers - ISI (Initial Spread Index) - Rate of fire spread - Classes - Fuel type classification - Region - Geographic location - This project develops Linear Regression model as a base line model and it's compares with Ridge,Lasso and elasticnet models to reduce overfitting and feature selection. - Finally this project devolops small web application using Flask frame work that gets user inputs and predicts Fire Weather Index.