Air pollution Prediction Using Machine learning Algorithms - Review |
Author(s): |
| Lodh Satish , Shree LR Tiwari College of Engineering; Singh Vinay, Shree LR Tiwari College of Engineering; Maurya Ankit, Shree LR Tiwari College of Engineering; Joshi Mayur, Shree LR Tiwari College of Engineering |
Keywords: |
| Machine Learning, Air Pollution |
Abstract |
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A air quality of India by using machine learning to predict the air quality index of a given area. Many efforts from both local and state government are done in order to understand and predict air quality index aiming improved public health. In predicting the air pollution we also found out those meteorological factors largely affects the air pollution. So, in our study, we also consider some meteorological factors to predict the pollution of air like Temperature, Minimum Temperature, Maximum Temperature, Wind speed and Relative Humidity and several other features. this paper is one scientific contribution towards this challenge. We compare two simple machine learning algorithms support vector machines and random forest. We compare two simple machine learning algorithms like support vector machines and Random Forest. |
Other Details |
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Paper ID: IJSRDV8I110018 Published in: Volume : 8, Issue : 11 Publication Date: 01/02/2021 Page(s): 43-45 |
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