Alven8816/deeper
An updated R package deeper: Deep Ensemble for Environmental Predictor
This tool helps environmental scientists and researchers improve the accuracy of air pollution concentration estimates. It takes in environmental data, such as sensor readings or meteorological factors, and outputs highly reliable predictions of air pollutant levels. Environmental researchers, air quality analysts, and public health officials can use this to get more precise environmental insights.
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Use this if you need to create a robust, multi-level predictive model for environmental factors, especially air pollution, using an ensemble of machine learning techniques.
Not ideal if your dataset contains missing values, as it requires imputation beforehand, or if you are looking for a simple, single-model prediction without ensemble learning.
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Language
R
License
GPL-3.0
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Last pushed
Mar 15, 2022
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