Prabhsimran18/Algerian-Forest-Fires

## Project Overview The objective of this project is to **process** and **clean** the dataset, create insightful **visualizations**, and derive meaningful insights from the Algerian forest fire dataset by analyzing the Fire Weather Index (FWI). ## Key Components 1. **Data Processing and Cleaning** - Initial data exploration - Handling missing values - Data normalization and transformation 2. **Visualization** - Generating plots to understand data distribution - Visualizing relationships between variables 3. **Modeling Techniques** - **Multiple Linear Regression** - **Polynomial Regression** - **Regularization Models** (e.g., Lasso, Ridge) 4. **Model Evaluation** - Conducting **cross-validation** to ensure model robustness - Performing **hyperparameter tuning** to optimize model performance 5. **Model Deployment** - Creating **pickle files** for model serialization - Testing the model on **unseen data** to evaluate its predictive power