vjn6805/FWI-Prediction-LR-

A simple Linear Regression, End to End Project with Web Page for predication of the FWI index from the Algerian Fire Dataset # Algerian Forest Fire Prediction Web App This project is a Flask-based web application that predicts the Fire Weather Index (FWI) using the Algerian forest fire dataset. The prediction is based on a Ridge Regression model trained on the dataset. ## Features - Train-Test split and multicollinearity handling. - Implements three regression models: Linear, Ridge, and Lasso. - Saves trained models using Pickle. - Predicts the Fire Weather Index (FWI) using a web interface. - User-friendly form for data input. ## Tech Stack - **Frontend:** HTML, CSS - **Backend:** Flask - **Machine Learning:** Scikit-learn - **Deployment:** Flask Development Server - **Libraries Used:** - `pandas` - `numpy` - `matplotlib` - `seaborn` - `scikit-learn`