Comparison of Ridge, Lasso and ElasticNet regression models on the Algerian Forest Fires dataset.
# Algerian-Forest-Fires-Regression
Comparison of Ridge, Lasso and ElasticNet regression models on the Algerian Forest Fires dataset.
# Algerian Forest Fires: Comparative Analysis of Regularized Regression
This repository contains a machine learning project aimed at predicting the **Fire Weather Index (FWI)** value using the Algerian Forest Fires dataset.
### 📊 Project Overview
This study compares the performance of three different regularized regression models in predicting the FWI. The analysis includes comprehensive data cleaning, Exploratory Data Analysis (EDA), and cross-validation techniques for robust model selection.
### 💾 Dataset Used
**Dataset:** Algerian Forest Fires Dataset
### 🧠 Models Implemented
* **Ridge Regression**
* **Lasso Regression**
* **ElasticNet Regression**
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### 🔗 Detailed Analysis and Visualizations
For all code steps, visualizations, and detailed model conclusions of this project, please refer to my Kaggle notebook:
**Kaggle Notebook Link**