https://github.com/naufal-yafi/knn-regression.model

K-Nearest Neighbors
https://github.com/naufal-yafi/knn-regression.model

data-science knn-regression machine-learning scikit-learn

Last synced: about 16 hours ago
JSON representation

K-Nearest Neighbors

• Host: GitHub
• URL: https://github.com/naufal-yafi/knn-regression.model
• Owner: naufal-yafi
• License: mit
• Created: 2023-10-30T11:11:19.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-30T14:14:43.000Z (9 days ago)
• Last Synced: 2024-10-30T14:46:37.699Z (9 days ago)
• Topics: data-science, knn-regression, machine-learning, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 67.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
![py version](https://img.shields.io/badge/python3-v_3.12.5-blue) ![pip version](https://img.shields.io/badge/pip3-v_24.2-blue) ![os](https://img.shields.io/badge/alpine_linux-v_3.17.0-blue)

# KNN Regression

This project aims to predict the price of used cars based on features such as 'year', 'transmission', 'mileage', 'fuelType', 'tax', 'mpg', and 'engineSize' using the K-Nearest Neighbors (KNN) Regression algorithm.

# How to use this repo

## 1. Create VENV

```sh

python3 -m venv venv

```

## 2. Activate VENV

1. Linux/MacOS:

    ```sh

    source active

    ```

2. Windows (cmd):

    ```sh

    venv\Scripts\activate.bat

    ```

3.  Windows (powershell):

    ```sh

    venv\Scripts\Activate.ps1

    ```

## 3. Install Libraries

```sh

sh install

```