Preparation of Quality Data for Air Pollution Forecasting
DOI:
https://doi.org//10.32628/IJSRST196511Keywords:
Machine Learning, Data Preparation, Data- Collection, Air Pollution Data, Linear Regression Model.Abstract
This paper proposes a preparation of quality data for training accurate machine learning model. Data preparation is very important in machine learning. Here we are preparing the data for air pollution forecast. As Air pollution forecasting has traditionally been done by physical models of the atmosphere, which are unstable and in accurate for large periods of time. Since machine learning techniques are more robust to perturbations, in this paper we explore the data preparation and applications of machine learning to air pollution forecasting to potentially generate more accurate predictions. A Linear Regression model is used to train the data a more accurately and predict the air pollution.
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