This project focuses on predicting fire weather index (FWI) values using regularized regression models — Ridge, Lasso, and Elastic Net — applied to the Algerian Forest Fires Dataset. The dataset includes real meteorological and fire-related measurements collected from two regions of Algeria (Bejaia & Sidi Bel-Abbes) over the 2012 summer season.
# Ridge-Lasso-ElasticnNet-project-on-AlgerianForest-Dataset
This project focuses on predicting fire weather index (FWI) values using regularized regression models — Ridge, Lasso, and Elastic Net — applied to the Algerian Forest Fires Dataset. The dataset includes real meteorological and fire-related measurements collected from two regions of Algeria (Bejaia & Sidi Bel-Abbes) over the 2012 summer season.