BehlimAmaan/Algeria-Forest-Fire

This project analyzes the Algeria Forest Fire dataset by performing data cleaning and EDA to understand patterns related to fire occurrence. Feature selection was applied to improve model performance. Multiple models including Multiple Linear Regression, Ridge, Lasso, and ElasticNet were trained and evaluated using MSE, MAE, and R² score.