emirhanai/Ozone-Day-AdaBoostClassifier-and-Random-Forest-Tree-Classifier-with-Machine-Learning
Ozone Day AdaBoostClassifier and Random Forest Tree Classifier with Machine Learning
This project helps environmental analysts and air quality researchers predict whether a day will be classified as an "ozone day" based on various environmental factors. It takes historical environmental data as input and outputs a classification of a given day as either an ozone day or a non-ozone day, aiding in environmental monitoring and public health advisories.
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Use this if you need to classify days as 'ozone days' or 'non-ozone days' for environmental monitoring and public health planning.
Not ideal if you need a real-time prediction system or a solution that accounts for highly dynamic and rapidly changing atmospheric conditions.
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Language
Python
License
MIT
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Last pushed
Sep 08, 2021
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