Water Quality Prediction using Machine Learning
Abstract & Details
Research Area
Computer Engineering
Keywords
Random Forest
Decision Tree
and KNN
Prediction.
Abstract
This project uses machine learning algorithms like Random Forest, Decision Tree, and KNN to analyze and predict water quality. By collecting and preprocessing water quality data, conducting exploratory data analysis, and implementing predictive models, the project aims to identify key patterns and relationships between water parameters. The models' accuracy will be evaluated to determine the most effective algorithm, ultimately contributing to sustainable water resource management by enabling proactive measures and timely actions to protect water quality.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Priya Rajendra Kamble | D Y Patil College of Engineering & Technology , Kasba bawda |
| 2 | Mithali Pravin Patil | D Y Patil College of Engineering & Technology , Kasba bawda |
| 3 | Pallavi Satappa Patil | D Y Patil College of Engineering & Technology , Kasba bawda |
| 4 | Sakshi Deepak Hanje | D Y Patil College of Engineering & Technology , Kasba bawda |
| 5 | Sejal Ananda kamble | D Y Patil College of Engineering & Technology , Kasba bawda |
| 6 | Vedika Deepak Hiraskar | D Y Patil College of Engineering & Technology , Kasba bawda |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kamble, Priya Rajendra, Patil, Mithali Pravin, Patil, Pallavi Satappa, Hanje, Sakshi Deepak, kamble, Sejal Ananda, & Hiraskar, Vedika Deepak (2024). Water Quality Prediction using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 4546-4550.
MLA Style
Kamble, Priya Rajendra, et al. "Water Quality Prediction using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 4546-4550.
IEEE Style
Priya Rajendra Kamble, Mithali Pravin Patil, Pallavi Satappa Patil, Sakshi Deepak Hanje, Sejal Ananda kamble, and Vedika Deepak Hiraskar, "Water Quality Prediction using Machine Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 4546-4550, 2024.
Vancouver Style
Kamble Priya Rajendra, Patil Mithali Pravin, Patil Pallavi Satappa, Hanje Sakshi Deepak, kamble Sejal Ananda, Hiraskar Vedika Deepak. Water Quality Prediction using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):4546-4550.
Harvard Style
Kamble, Priya Rajendra, Patil, Mithali Pravin, Patil, Pallavi Satappa, Hanje, Sakshi Deepak, kamble, Sejal Ananda, & Hiraskar, Vedika Deepak (2024) 'Water Quality Prediction using Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 4546-4550.
Chicago Style
Kamble, Priya Rajendra, et al. "Water Quality Prediction using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 4546-4550.
Turabian Style
Kamble, Priya Rajendra, et al. "Water Quality Prediction using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 4546-4550.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable