MasterHrit/Algerian_Forest_FWI_Prediction

# Algerian Forest Fire Prediction ## Overview This project is a machine learning model that predicts forest fire risk using environmental and meteorological data from the Algerian Forest Fire dataset. --- ## Live Demo Try the deployed application here: **algerian-forest-fwi-predict… --- ## Workflow - Data preprocessing - Exploratory Data Analysis (EDA) - Feature selection - Model training - Model evaluation - Model serialization (saving model) - Deployment --- ## Models Used - Linear Regression - Ridge Regression - Lasso Regression - ElasticNet --- ## Evaluation Metrics Model performance is evaluated using: - Accuracy / R² Score - Mean Absolute Error (MAE) - Mean Squared Error (MSE) --- ## Tech Stack - Python - Pandas - NumPy - Scikit-learn - Matplotlib - Seaborn - Flask / Streamlit - Render (Deployment) ---