project_austin_air_quality_analysis_and_prediction
esharma3
The purpose of this project is to analyze the impact of climate change on air quality for the city of Austin and create a machine learning model that can establish a correlation between the level of air pollutants like Ozone and NO2 and the climate parameters by using regression models and null hypothesis.
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7 data points · 2021-08-01 → 2023-07-01How do you feel about this project?
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Question copied to clipboardWhat is the esharma3/project_austin_air_quality_analysis_and_prediction GitHub project? Description: "The purpose of this project is to analyze the impact of climate change on air quality for the city of Austin and create a machine learning model that can establish a correlation between the level of air pollutants like Ozone and NO2 and the climate parameters by using regression models and null hypothesis.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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