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GitHub / krishnaaxo / Ozone_detection_using_AI
The research has been implemented to classify the ground level-based ozone data based on complex machine learning models to solve this problem. The data has two classes as the target; here, the ozone day is represented by class one, and the non-ozone day is defined as class zero. Ground-level ozone is a hazardous pollutant that silently kills humans, animals, and plants.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krishnaaxo%2FOzone_detection_using_AI
Stars: 0
Forks: 1
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 36.3 MB
Dependencies: pending
Created: about 3 years ago
Updated: about 1 month ago
Last pushed: over 2 years ago
Last synced: about 1 month ago
Topics: classification-model, deeplearning, detection, machine-learning, ozone, python