VidhamjotKaur/Algerian-forest-fire

## Objective The aim is to: - Process and clean the dataset. - Generate visualizations. - Derive insights from the Algerian forest fire dataset by analyzing the Fire Weather Index (FWI). ## Analysis Techniques The analysis will involve the following techniques: 1. **Multiple Linear Regression** 2. **Polynomial Regression** 3. **Regularization Models** ## Model Evaluation To evaluate the model's performance, the following steps will be undertaken: - **Cross-Validation**: Ensuring the model's robustness by testing it on different subsets of the data. - **Hyperparameter Tuning**: Optimizing the model's parameters for better accuracy. ## Model Development After developing the model, the following steps will be performed: - **Creating Pickle Files**: Saving the model for future use. - **Testing on Unseen Data**: Validating the model's performance on new, unseen data.