https://github.com/vanditg/wine-quality-analysis-
This repository contains important experiments and notebooks on wine quality analysis, related to the project of real-time wine sensing tool in Software Engineering and Project coursework.
https://github.com/vanditg/wine-quality-analysis-
colab-notebook jupyter-notebook logistic-regression machine-learning naive-bayes-classifier notebooks svc-svm svm-classifier wine-quality-analysis
Last synced: 6 months ago
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This repository contains important experiments and notebooks on wine quality analysis, related to the project of real-time wine sensing tool in Software Engineering and Project coursework.
- Host: GitHub
- URL: https://github.com/vanditg/wine-quality-analysis-
- Owner: Vanditg
- Created: 2020-08-19T11:49:13.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-08-23T00:20:33.000Z (about 5 years ago)
- Last Synced: 2025-02-14T19:29:36.307Z (8 months ago)
- Topics: colab-notebook, jupyter-notebook, logistic-regression, machine-learning, naive-bayes-classifier, notebooks, svc-svm, svm-classifier, wine-quality-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 1000 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Wine-Quality-Analysis
This repository contains important experiments and notebooks on [wine quality analysis](http://rstudio-pubs-static.s3.amazonaws.com/24803_abbae17a5e154b259f6f9225da6dade0.html), related to the project of real-time wine sensing tool in [Software Engineering and Project](https://www.adelaide.edu.au/course-outlines/003675/1/sem-2/) coursework.
# Access to the UCI Wine Dataset
UCI Wine Quality Dataset - Access [Here](https://github.com/Vanditg/Wine-Quality-Analysis-/blob/master/Dataset/UCI_WineQuality.csv)
# Jupyter Notebook Access
Wine Quality Analysis - Access [Here](https://github.com/Vanditg/Wine-Quality-Analysis-/blob/master/Wine_Quality_Analysis.ipynb)
# Google Colaboratory
SEP Wine Analysis Models - Access [Here](https://colab.research.google.com/drive/1lAA_LPsGeUs9lIDYfn64DOLl0jItYjzp?usp=sharing)
**Please note that you need to add the dataset to your drive and link to colab repo for working.**