Prediction of Air Pollution by Comparative Analysis of Statistical Methods

In today’s scenario air pollution is one of the most significant problems which causes most dangerous health issues to humans mostly to children and old age people. Main air pollutants are from industries or factories that releases harmful gases and transport where too many vehicles are using, and burning the non-degradable wastes like plastic covers, and tire’s and releasing of CFC from electronic items etc. Hence to reduce the air pollution, here the dataset is collected from different data centers and applies different algorithms to make a survey and to reduce or prevent the area in getting more polluted. The more polluted area in the country can be found and the component that is present more in that area can be determined and can help in reducing it with proper report presented to the area pollution control officer to handle it and thus can assist to reduce the pollutants or furthermore can cause the area to be banned.