Skip to content

KNN algorithm from scratch using only python built-in functions and numpy

License

Notifications You must be signed in to change notification settings

AmyBeisel/KNN-from-scratch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

KNN-from-scratch

The K-nearest-neighbors is a simple but powerful approach for making predictions. KNN use data and classify new data points based on similarity measures (distance function). In this model we used the Euclidean Distance Equation.

Euclidean Distance Function

Find here the Medium post for a better understanding.

About

KNN algorithm from scratch using only python built-in functions and numpy

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published