Course Content

  • 4_3_KNN

Course Content


"K-Nearest Neighbour" is the abbreviation for "K-Nearest Neighbour." It's a machine learning algorithm that's supervised. Both classification and regression problem statements can be solved using the approach. The sign 'K' represents the number of nearest neighbours to a new unknown variable that must be predicted or categorised.

During the training phase, the KNN algorithm simply stores the dataset, and when it receives new data, it classifies it into a category that is quite similar to the new data. Consider the following scenario: We have an image of a creature that looks like a cat or a dog, but we don't know whether it's a cat or a dog.

Recommended Courses

Share With Friend

Have a friend to whom you would want to share this course?

Download LearnVern App

App Preview Image
App QR Code Image
Code Scan or Download the app
Google Play Store
Apple App Store
598K+ Downloads
App Download Section Circle 1
4.57 Avg. Ratings
App Download Section Circle 2
15K+ Reviews
App Download Section Circle 3
  • Learn anywhere on the go
  • Get regular updates about your enrolled or new courses
  • Share content with your friends
  • Evaluate your progress through practice tests
  • No internet connection needed
  • Enroll for the webinar and join at the time of the webinar from anywhere