Implemented K-Nearest Neighbor(K-NN) algorithm in python on MNIST dataset (a database of several handwritten digits ) to recognize any handwritten digit.
-
Notifications
You must be signed in to change notification settings - Fork 0
Achieved an accuracy of 90% in Handwritten Digit Recognition by implementing K-Nearest Neighbor(K-NN) algorithm on MNIST dataset (a database of several handwritten digits ) to recognize any handwritten digit.
cru5ader/Handwritten_Digit_Recognition
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Achieved an accuracy of 90% in Handwritten Digit Recognition by implementing K-Nearest Neighbor(K-NN) algorithm on MNIST dataset (a database of several handwritten digits ) to recognize any handwritten digit.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published