Air Quality Prediction Using Machine Learning Algorithms

Since air quality is becoming a serious health issue, the government should take important action to predict it. The air quality is evaluated by the air quality index. The combustion of natural gas, coal, and wood, as well as automobiles and industry, produce carbon dioxide, nitrogen dioxide, carbon monoxide, and other air pollutants that contribute to air pollution. Lung cancer, brain damage, and even death can result from air pollution. The air quality index can be calculated with the help of machine learning methods. Despite the fact that numerous studies are being carried out in this field, the outcomes remain incorrect. The Kaggle-provided datasets are categorized as follows: preparing and testing. Machine learning algorithms such as Linear Regression, Random Forest, and C 4.5 Decision Tree are utilized in this.