Rio1002/Algerian_Forest_Fires-Analysis

Algerian Forest Fires Analysis 🔥 This project analyzes and predicts forest fires in Algeria using machine learning techniques on meteorological data. 📁 Files Algerian_forest_fires_Analysis.ipynb: Main analysis notebook Algerian_forest_fires_dataset_UPDATE.csv: Original dataset Algerian_forest_fires_dataset_Cleaned.csv: Cleaned dataset 📊 Data Includes temperature, humidity, wind, rainfall, and fire weather indices. Collected from two Algerian regions: Bejaia & Sidi Bel-Abbes (June–Sept 2012). Target: Classes → fire / not fire 🧠 ML Models Classification: Logistic Regression, Decision Tree, Random Forest, XGBoost Regression: Linear, Ridge, Lasso, ElasticNet 🚀 How to Run Clone repo Install dependencies (pandas, numpy, sklearn, xgboost) Run Algerian_forest_fires_Analysis.ipynb in Jupyter 📌 Source Dataset: UCI ML Repository