Air Quality Index Prediction using Linear Regression
Ambika G. N1, Bhanu Pratap Singh2, Bhavya Sah3, Dishi Tiwari4
1Mrs. Ambika G. N, Assistant Professor, Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India.
2Mr. Bhanu Pratap Singh, Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India.
3Ms. Bhavya Sah, Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India.
4Ms. Dishi Tiwari, Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India.
Manuscript received on 04 March 2019 | Revised Manuscript received on 09 March 2019 | Manuscript published on 30 July 2019 | PP: 4247-4252 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2437078219/19©BEIESP | DOI: 10.35940/ijrte.B2437.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Controlling and preserving the better air excellence has become one of the most indispensible events in numerous manufacturing plus metropolitan regions at present. The excellence of air is harmfully affecting payable to the various forms of contamination affected via the transportation, power, fuels expenditures, etc. The installation of destructive fumes is spawning the severe hazard for the class of natural life in developed metropolises. Through cumulative air contamination, we require implementing competent air excellence monitoring models which gathers the statistics about the absorption of air impurities and be responsible for calculation of air contamination in each zone. Hence, air excellence estimation plus calculation has come to be a significant study area. The superiority of air is exaggerated by multi-dimensional influences comprising place, time plus indeterminate parameters. The intention of this development is to examine the machine learning based methods for air quality prediction.
Keywords- Air Quality Index, Linear Regression, Auto ARIMA Model, Stepwise Regression, Python, Jupyter Notebook, Tableau Public.
Scope of the Article: Ventilation and Indoor Air Quality