prakashchaudhary12/Algerian-Forest-Fire-Prediction

# 🔥 Algerian Forest Fire Prediction ## 📌 Project Overview This project predicts the likelihood of forest fires in Algeria using machine learning models based on meteorological data. ## 🎯 Objective To analyze environmental factors and build a predictive model that helps in early detection of forest fires. ## 📊 Dataset - Algerian Forest Fire Dataset - Features include temperature, humidity, wind speed, rainfall, etc. ## 🔍 Key Steps - Data Cleaning & Preprocessing - Exploratory Data Analysis (EDA) - Feature Selection using Correlation - Model Training (Linear Regression, etc.) - Model Evaluation ## ⚙️ Tech Stack - Python - Pandas, NumPy - Matplotlib, Seaborn - Scikit-learn ## 📈 Results - Achieved good prediction accuracy - Identified key factors influencing forest fires ## 🚀 Future Improvements - Deploy model using Flask/Streamlit - Add real-time data integration ## 📎 How to Run ```bash pip install -r requirements.txt