ML project predicting Fire Weather Index (FWI) from the Algerian Forest Fires dataset (244 instances, 2 regions, June–Sep 2012). Includes data cleaning, EDA, feature engineering, multicollinearity removal, standard scaling, and regression models (Linear, Lasso, and Ridge).
# Algerian-Forest-Fire-ML-Project
ML project predicting Fire Weather Index (FWI) from the Algerian Forest Fires dataset (244 instances, 2 regions, June–Sep 2012). Includes data cleaning, EDA, feature engineering, multicollinearity removal, standard scaling, and regression models (Linear, Lasso, and Ridge).