salehkhattak/Project-name-FireCast-Forest-Fire-Weather-Prediction

Domaine:

environment and energy

Type de record:

project

Créateur:

sal

Hôte:

An end-to-end machine learning project that predicts the Fire Weather Index (FWI) using meteorological and fire-weather features from the Algerian Forest Fires dataset. # FireCast: Forest Fire Weather Prediction FireCast is an educational machine-learning project that uses weather and fire-weather observations from two Algerian regions to predict the **Fire Weather Index (FWI)**. It includes data cleaning, exploratory analysis, four regression baselines, leakage-safe preprocessing, cross-validation, and holdout evaluation. ## Project Status This repository is currently a notebook-based modeling project. The cleaning and training workflows are working baselines, but the project does not yet include a packaged training script, saved model, automated tests, or a deployed prediction service. ## Dataset The source cleaned CSV contains 247 rows. After numeric validation and removal of incomplete records, the training notebook uses 243 observations with these columns: - `day`, `month`, `year`: observation date components - `Temperature`: temperature measurement - `RH`: relative humidity - `Ws`: wind speed - `Rain`: rainfall - `FFMC`, `DMC`, `DC`, `ISI`, `BUI`: fire-weather index components - `FWI`: regression target - `Classes`: fire / not-fire category in the source data - `Region`: encoded region identifier (`0` or `1`) The project separates the observations into the Bejaia and Sidi Bel-Abbes regions using the source data ordering. Review this assumption before using the dataset for new data or production predictions. ## Repository Contents | File | Purpose | | --- | --- | | `model training.ipynb` | Data loading, preprocessing, scaling, model training, metrics, plots, and cross-validation | | `algaerian_forest_project.ipynb` | Initial data inspection, cleaning, region labeling, and exploratory analysis | | `Algerian_forest_fires_dataset_CLEANED_DATASET.csv` | Cleaned dataset used by the training notebook | | `plan.txt` | Ordered next steps for improving and extending the project | The spelling of `algaerian_forest_project.ipynb` is retained to match the existing filename. ## Workflow The project follows this sequence: 1. Lo …

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