Author Login IJIRT Partner Network (IPN) Login

Water Quality Evaluation Using Machine Learning Techniques

  • Unique Paper ID: 161008
  • Volume: 10
  • Issue: 2
  • PageNo: 1017-1024
  • Abstract:
  • One of the most significant and serious issues currently affecting mankind is the degradation of natural water resources, such as rivers and lakes. Polluted water has longterm repercussions on all facets of existence. In order to maximise your water quality, it is crucial to manage your water resources. The impacts of water contents can be efficiently managed if data are analysed and water quality can be forecasted.This study’s objective is to develop a model for predicting quality of water is based on measurements of water quality using machine learning. With some data obtained through machine learning, models made of algorithms can be created. The collected data will be preprocessed, divided into training and testing portions, and exposed to machine learning classification techniques for a better assessment of parametric findings. Some of the classification type techniques used in this work are Decision Tree, LinearSVC, Random Forest, GradientBoosting, SGD, and KNeighbour. Each model’s performance indicators are computed and are different from one another. Hyper tuning is a method for raising perfor- mance metrics for models of machine learning
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 2
  • PageNo: 1017-1024

Water Quality Evaluation Using Machine Learning Techniques

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry