Analysis of Water Quality using Supervised Machine Learning Classifiers
Danish Paliwal1, Aditya Maheshwari2, Yogendra Singh Solanki3, Prasun Chakrabarti4
1Danish Paliwal, Techno India NJR Institute of Technology, Udaipur (Rajasthan), India.
2Aditya Maheshwari, Techno India NJR Institute of Technology, Udaipur (Rajasthan), India.
3Yogendra Singh Solanki, Techno India NJR Institute of Technology, Udaipur (Rajasthan), India.
4Prasun Chakrabarti, Techno India NJR Institute of Technology, Udaipur (Rajasthan), India.
Manuscript received on 15 March 2020 | Revised Manuscript received on 22 March 2020 | Manuscript Published on 30 March 2020 | PP: 1-3 | Volume-9 Issue-3S March 2020 | Retrieval Number: C10010393S20/20©BEIESP | DOI: 10.35940/ijeat.C1001.0393S20
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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: The paper points out analysis of water with the use of supervised machine learning classifiers. The parameters include turbidity, ph level, water level, temperature and dissolved oxygen. Curve fitting has also been applied in order to analyze the water quality.
Keywords: PH, Dissolved Oxygen, Temperature, Turbidity, Water Quality, Analytics.
Scope of the Article: Machine Learning