End-to-End Machine Learning project for predicting the Fire Weather Index (FWI) using the Algerian Forest Fires dataset with data preprocessing, Ridge Regression, and Flask.
# 🔥 Algerian Forest Fire Prediction
An End-to-End Machine Learning project that predicts the **Fire Weather Index (FWI)** using the Algerian Forest Fires dataset. The project demonstrates the complete ML workflow, including data preprocessing, model training with Ridge Regression, and deployment using Flask.
## 🚀 Features
- Predicts Fire Weather Index (FWI)
- Data preprocessing and feature scaling
- Ridge Regression model
- Interactive Flask web application
## 🛠️ Tech Stack
- Python
- Pandas
- NumPy
- Scikit-learn
- Flask