https://github.com/ljadhav25/knn-algorithm-data-science-

This repository contains a project demonstrating the implementation and application of the K-Nearest Neighbors (K-NN) algorithm in Data Science. The objective is to provide a comprehensive understanding of the K-NN algorithm, including data preprocessing, model training, evaluation, and visualization of results. This project is ideal for beginners
https://github.com/ljadhav25/knn-algorithm-data-science-

data-analysis data-science knn-classification machine-learning matplotlib-pyplot numpy pandas-library seaborn

Last synced: about 22 hours ago
JSON representation

This repository contains a project demonstrating the implementation and application of the K-Nearest Neighbors (K-NN) algorithm in Data Science. The objective is to provide a comprehensive understanding of the K-NN algorithm, including data preprocessing, model training, evaluation, and visualization of results. This project is ideal for beginners

• Host: GitHub
• URL: https://github.com/ljadhav25/knn-algorithm-data-science-
• Owner: LJadhav25
• Created: 2024-05-20T09:52:03.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-05-20T09:54:57.000Z (6 months ago)
• Last Synced: 2024-05-20T10:59:10.924Z (6 months ago)
• Topics: data-analysis, data-science, knn-classification, machine-learning, matplotlib-pyplot, numpy, pandas-library, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 135 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# KNN-Algorithm