https://github.com/monish-nallagondalla/algerian_forest_fires
This project predicts forest fires in Algeria using machine learning models . The dataset includes various meteorological and environmental features such as temperature, humidity, and wind speed. The app cleans the data and builds models to predict the likelihood of forest fires based on historical data and environmental conditions.
https://github.com/monish-nallagondalla/algerian_forest_fires
data-analysis data-science datacleaning flask forest-fire-prediction machine-learning meteorological-data python regression-models ridge-regression
Last synced: about 1 month ago
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This project predicts forest fires in Algeria using machine learning models . The dataset includes various meteorological and environmental features such as temperature, humidity, and wind speed. The app cleans the data and builds models to predict the likelihood of forest fires based on historical data and environmental conditions.
- Host: GitHub
- URL: https://github.com/monish-nallagondalla/algerian_forest_fires
- Owner: Monish-Nallagondalla
- License: mit
- Created: 2024-09-29T12:48:06.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-12-17T05:58:58.000Z (5 months ago)
- Last Synced: 2025-02-11T09:19:15.001Z (3 months ago)
- Topics: data-analysis, data-science, datacleaning, flask, forest-fire-prediction, machine-learning, meteorological-data, python, regression-models, ridge-regression
- Language: Jupyter Notebook
- Homepage:
- Size: 839 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0