Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

aryanjaiswal-454/Algeria-Forest-Fire-Prediction

Domaine:

environment and energy

Type de record:

project
Créateur:
ary
Hôte:
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

Visit

github.com

Languages

Arabic, Algerian Spoken