A STUDY ON SUPERVISED LEARNING MODEL – K-NN CLASSIFICATION

Authors

  • Dr. UdayaSri Kompalli Author
  • Avanigadda Sivayya Author
  • Gandham Mani Saketh Author
  • Abdul Faheem Author

Abstract

In the world of machine learning, the k-Nearest Neighbors (kNN) algorithm has emerged as a powerful tool for classification tasks. With its simplicity and effectiveness, kNN has gained popularity across various domains. In this article, we will explore the fundamentals of kNN, its applications, and implementation. Whether you are a beginner or an experienced practitioner in machine learning, this article will provide valuable insights into the capabilities of kNN and how it can be leveraged to make accurate predictions. So, let's dive into the world of k-Nearest Neighbors and unlock its potential!

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Published

2022-01-01

Issue

Section

Articles

How to Cite

A STUDY ON SUPERVISED LEARNING MODEL – K-NN CLASSIFICATION. (2022). International Journal of Food and Nutritional Sciences, 11(12), 6885-6894. http://www.ijfans.org/index.php/Journal/article/view/13605