forest-fire-prediction and Forest-Fire-Prediction

These are independent implementations of the same machine learning task (Algerian forest fire prediction) using similar datasets and approaches, making them direct competitors rather than complementary or related tools.

Forest-Fire-Prediction
24
Experimental
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 20/25
Maintenance 0/25
Adoption 6/25
Maturity 1/25
Community 17/25
Stars: 75
Forks: 23
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 18
Forks: 9
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About forest-fire-prediction

aravind-selvam/forest-fire-prediction

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

Implements dual predictive models—binary classification (fire/no-fire) and regression (Fire Weather Index)—trained on scikit-learn algorithms including Random Forest, XGBoost, and SVR, with hyperparameter tuning via stratified k-fold cross-validation. Persists Algerian forest fire observations to MongoDB Atlas and exposes predictions through a Flask REST API deployed on Heroku with both web interface and Postman-testable endpoints.

About Forest-Fire-Prediction

ashishrana1501/Forest-Fire-Prediction

Algerian Forest Fire Prediction

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