SambhavSurthi/Algerian_forest_fires

Domaine:

environment and energyclimate

Type de record:

datasetmodel

Créateur:

Sam

Hôte:

This is a Algerian_forest_fires Prediction Using Linear, Ridge, Lasso Regression Models # Algerian Forest Fires Prediction System A complete end-to-end machine learning project with Flask web application and AWS deployment for predicting Fire Weather Index (FWI) using environmental and meteorological data. ## 📋 Project Overview This project predicts the **Fire Weather Index (FWI)** using environmental and meteorological data from two Algerian regions: - **Bejaia Region** - **Sidi-Bel Abbes Regions** The system includes: - **Data Analysis**: Jupyter notebook with comprehensive EDA using ydata-profiling - **Machine Learning**: Multiple regression models (Linear, Ridge, Lasso, ElasticNet) - **Web Application**: Flask-based REST API with HTML interface - **Cloud Deployment**: AWS Elastic Beanstalk with CodePipeline CI/CD - **Interactive Dashboard**: Prediction interface and EDA report viewer ## 📊 Dataset ### Features **Input Features (11):** - `day` - Day of the month - `month` - Month of the year - `year` - Year of observation - `Temperature` - Temperature in °C - `RH` - Relative Humidity (%) - `Ws` - Wind Speed (km/h) - `Rain` - Rainfall (mm) - `FFMC` - Fine Fuel Moisture Code - `DMC` - Duff Moisture Code - `DC` - Drought Code - `ISI` - Initial Spread Index - `BUI` - Buildup Index **Target Features:** - `FWI` - Fire Weather Index (for regression) - `Classes` - Fire/Not Fire classification (for classification) ### Files - `Algerian_forest_fires_dataset.csv` - Original raw dataset - `Algerian_forest_fires_cleaned_dataset.csv` - Cleaned and processed dataset ## 🔧 Technologies & Libraries **Core Data Science:** - **Python 3.10** - **pandas** - Data manipulation and analysis - **numpy** - Numerical computations - **scikit-learn** - Machine learning algorithms - **matplotlib** - Data visualization - **seaborn** - Statistical visualization - **plotly** - Interactive visualizations - **ydata-profiling** - Automated EDA reports - **ipykernel** - Jupyter kernel support - **ipywidgets** - Interactive widgets **Web Framework & Deployment:** - **Flask** - …

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