Abstract
Abstract: Air Contamination is one of the most major problem faced by today’s ecosphere. Environment becoming toxic due to contaminated cities and different contaminants have also been added in the air. Air Contamination is caused by both natural activities and human. Pollutants like Chlorofluorocarbon, Nitrogen Dioxide Carbon Dioxide, Sulphur Dioxide, Carbon Monoxide, Lead, and Mercury etc. are being added in the air due to human activities. In this paper data has been composed from government website. Linear Regression, Decision Tree Regression and Random Forest Regression were used to evaluate the level of CO. least error achieved by Random Forest Regression out of other algorithm chosen for evaluation of Air Pollution and hence resulted in supplementary accurateness
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