ShriyaMishra2903/algerian-forest-fire-regression
Domain:
environment and energyRecord type:
project
Creator:
Shr
Host:
Machine learning regression project for predicting forest fire risk using the Algerian Forest Fires dataset.
# 🔥 Algerian Forest Fire Regression
## 📌 Overview
This project analyzes the Algerian Forest Fires dataset and applies regression techniques to predict fire weather index (FWI) and understand factors influencing forest fire occurrence.
The workflow includes data cleaning, exploratory data analysis, feature engineering, model training, and evaluation.
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## 🛠️ Technologies Used
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Scikit-Learn
- Jupyter Notebook
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## 📊 Project Workflow
1. Data Cleaning
2. Missing Value Treatment
3. Feature Engineering
4. Exploratory Data Analysis
5. Regression Modeling
6. Model Evaluation
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## 📁 Repository Contents
- Algerian_Forest_Fire_Regression.ipynb
- Algerian_forest_fires_dataset_UPDATE.csv
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## 🎯 Objective
Analyze environmental factors and build regression models to study forest fire risk indicators.
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⭐ Machine Learning Regression Project