This project will use feature data harvested from OpenAQ and MeteoStat to forecast both tropospheric ozone and particulate matter levels 1, 4, 8, and 24 hours in advance.
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Science Fair and HDR Internship project to forecast Ozone and Particulate Matter 2.5 in 1, 4, 8, and 24 hour intervals using a variety of machine learning models.
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JBPrew/OzonePM-Forecasting
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Science Fair and HDR Internship project to forecast Ozone and Particulate Matter 2.5 in 1, 4, 8, and 24 hour intervals using a variety of machine learning models.
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