https://github.com/huangy22/wine_quality_predictor

A wine quality predictor built with machine learning algorithms including regression tree, Random Forest Regressor and SVM. Along with an interactive visualization of the dataset built with D3.js and DC.js.
https://github.com/huangy22/wine_quality_predictor

Last synced: about 2 months ago
JSON representation

A wine quality predictor built with machine learning algorithms including regression tree, Random Forest Regressor and SVM. Along with an interactive visualization of the dataset built with D3.js and DC.js.

• Host: GitHub
• URL: https://github.com/huangy22/wine_quality_predictor
• Owner: huangy22
• Created: 2018-04-07T18:01:04.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-02-10T00:24:18.000Z (almost 6 years ago)
• Last Synced: 2024-10-12T10:29:08.353Z (3 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 673 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Wine Quality Predictor

The wine dataset is public available for research. The details are described in [Cortez et al., 2009](http://www.scitepress.org/Papers/2015/55519/55519.pdf).

An interactive visualization for the dataset can be found at this [website](http://yuanhuangblog.com/interactive_visuals/dc_visual/index.html).