ashtonmascarenhas05-spec/Algerian_Forest_Fire_Prediction

Domaine:

environment and energy

Type de record:

project

Créateur:

ash

Hôte:

An end-to-end Machine Learning project using Ridge, Lasso, and ElasticNet Regression to predict the Fire Weather Index (FWI) using the Algerian Forest Fires dataset. Includes comprehensive data cleaning, EDA, and feature engineering. # Algerian_Forest_Fire_Prediction An end-to-end Machine Learning project using Ridge, Lasso, and ElasticNet Regression to predict the Fire Weather Index (FWI) using the Algerian Forest Fires dataset. Includes comprehensive data cleaning, EDA, and feature engineering.

nikhilmalgar/Algerian_Forest_Fire_Prediction

# 🔥 FWI Prediction Web App A **Flask-based Machine Learning Web Application** that predicts the **F

adityaazad79/Algerian_Forest_Fire_Prediction

# A basic ML project to predict FWI of algerian forest fire. # This is a webapp based on flask.

Chandan220698/Algerian_forest_fire_prediction

# Algerian_forest_fire_prediction ## Deployment Link: * forest_fire_deployment ## Project Output ###

shrutiranipoddar/Algerian_forest_fire_prediction

# 🔥 Algerian Forest Fire - Temperature Prediction using Ridge Regression This project uses **Ridge

saran1301/Algerian_Forest_Fire_Prediction

A machine learning project aimed at predicting forest fire severity using meteorological and forest

arijitbose/algerian_forest_fire_prediction

# algerian-forest-fire ### Software And Tools Required 1. GitHub 2. VSCode 3. Heroku 4. Git

ashtonmascarenhas05-spec/Algerian_Forest_Fire_Prediction

Domaine:

Type de record:

Visit

Languages