https://github.com/zainulmustafa/k-nearest-neighbour-algorithms

KNN algorthm using SKlearn and without using SKlearn application on few datasets available at https://archive.ics.uci.edu/ml/datasets.html
https://github.com/zainulmustafa/k-nearest-neighbour-algorithms

collect matplotlib numpy pandas python sklearn

Last synced: 23 days ago
JSON representation

KNN algorthm using SKlearn and without using SKlearn application on few datasets available at https://archive.ics.uci.edu/ml/datasets.html

• Host: GitHub
• URL: https://github.com/zainulmustafa/k-nearest-neighbour-algorithms
• Owner: ZainUlMustafa
• Created: 2018-03-01T21:37:38.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2021-12-21T21:57:28.000Z (about 3 years ago)
• Last Synced: 2023-03-04T01:23:55.822Z (almost 2 years ago)
• Topics: collect, matplotlib, numpy, pandas, python, sklearn
• Language: Python
• Homepage:
• Size: 17.6 KB
• Stars: 2
• Watchers: 0
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# K-Nearest-Neighbour-Algorithms

KNN algorthm using SKlearn and without using SKlearn application on few datasets available at https://archive.ics.uci.edu/ml/datasets.html

This is a code for testing the extent, functionality, accuracy, and confidence of K Nearest Neighbour Algorithm. Few datasets are provided

in the repo so you can just simply download the repo and use it in your IDE.

I normally use Eclipse IDE for my Python code on Windows because it's free and easy to use. If you're using LINUX then there is no need for

an IDE, you can just run the script directly from the terminal.

Please feel free to contact me, and do suggest me any dataset as I'm also a learner. Thank You :D