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The magnitude of air contamination in advanced countries is depreciating drastically as observed in ongoing analysis as compared to the previous decade. Notwithstanding, in developing nations and countries pursuing industrialization and automation, the moderate significant levels of air contamination still serves as a threat, in spite of the levels gradually decreasing or remaining static during fast monetary improvement. Recently, hundreds of examinations in accordance with spread and management of disease have risen demonstrating unpleasant healthy consequences concern with present moment and prolonged exposure to the toxins present in the air. Periodic research and studies held in Asian and developed areas moreover indicated comparative healthy outcomes on impermanence of humanity related with association to particulate matter (PM), sulfur dioxide (SO2), ozone (O3), nitrogen dioxide (NO2) to those examined in Europe and North America. The present work is an effort to critically analyze the air pollution by machine learning and its adverse effects on human health.

Detection of Air Pollution and Its Adverse Effects on Human Health: Analytical Approach of Different Data Particles in NCR, India