This project analyzes forest fire data in Algeria using regression models. It includes EDA, preprocessing, and training Linear, Ridge, Lasso, and Elastic Net regressions to predict fire occurrence. Ridge Regression achieved the highest accuracy among all models.
# Algeria_Forest_Fire
This project analyzes forest fire data in Algeria using regression models. It includes EDA, preprocessing, and training Linear, Ridge, Lasso, and Elastic Net regressions to predict fire occurrence. Ridge Regression achieved the highest accuracy among all models.