Machine learning project for predicting the Fire Weather Index (FWI) using the Algerian Forest Fires dataset. The model is built with Ridge Regression to handle multicollinearity and improve generalization. Includes data preprocessing, feature scaling, model evaluation, and Flask-based deployment.
# Algerian-Fire-Forest-FWI-prediction-model-
Machine learning project for predicting the Fire Weather Index (FWI) using the Algerian Forest Fires dataset. The model is built with Ridge Regression to handle multicollinearity and improve generalization. Includes data preprocessing, feature scaling, model evaluation, and Flask-based deployment.