yashkj123/Algerian-Forest-Fire-ML

End-to-end regression project using Ridge # 🔥 Algerian Forest Fire Prediction This project uses machine learning to predict forest fire areas using meteorological data from Algeria. The best performing model was **Ridge Regression**. ## 📁 Project Structure - `forest_fire_notebook.ipynb`: Exploratory Data Analysis (EDA) and Model Training - `Cleaned_Algerian_Forest_Fires.csv`: Cleaned dataset - `ridge.pkl`: Final Ridge Regression model - `scaler.pkl`: Scaler for normalizing input data - `app.py`: Streamlit app for user interaction - `requirements.txt`: Python dependencies ## 🚀 How to Run the Project ### 1️⃣ Install Dependencies ```bash pip install -r requirements.txt ``` ### 2️⃣ Launch the App ```bash streamlit run app.py ``` ## 🧾 Dataset Cleaned Algerian Forest Fire dataset. ### 🔗 Live Demo Click here to use the app ## ✍️ Author Yash Kumar Jha