draindraw/ALgerian-forest-fire-analysis-and-prediction-model

# 🔥 Algerian Forest Fire Prediction This project focuses on predicting forest fire occurrences in Algeria using machine learning techniques. It involves data preprocessing, exploratory data analysis (EDA), and building regression models to analyze fire-related patterns. ## 🚀 Features * Data cleaning and preprocessing * Exploratory Data Analysis (EDA) * Feature selection and transformation * Model training and evaluation ## 🛠️ Tech Stack * Python * Pandas, NumPy * Matplotlib, Seaborn * Scikit-learn ## 📊 Dataset The dataset contains meteorological and fire-related data from Algerian regions, used to predict fire risk. ## ▶️ How to Run 1. Clone the repository 2. Install dependencies ```bash pip install -r requirements.txt ``` 3. Run the Jupyter Notebook ## 📌 Results The model demonstrates how environmental factors influence forest fires and helps in predicting fire risk with reasonable accuracy. --- ⭐ If you found this useful, consider giving it a star!