There are 3 repositories under wine-quality-prediction topic.
This project is about the prediction of red wine quality using different machine learning algorithms
Wine Quality Prediction using machine learning with python .i did this project in AINN(Artificial Intelligence and Neural Network) course .in this project i used red and white wine databases and machine learning libraries available in python
Used Multiple Linear Regression which will predict the quality of wine using 11 features.
Building classification models to predict quality of wines. (Accuracy = 71.33%)
Wine Predicts
Train a neural network to predict the quality of red-wine using chemical properties such as pH, density, alcohol percentage etc.
Wine Quality Prediction Model (ML) ExtraTreesClassifier 88% Accuracy
Implementation of various ML algorithms and their application to real world problems
ANN model which predicts wine quality
Using data to help us choice high quality wine
K means clustering implementation on the wine quality dataset
ML algorithms for Regression, Classification, Clustering and Dimensional Reduction applied in a Wine Quality Dataset.
This repository contains projects completed during Data Science Internship at CodeClause.
CPC152 Foundations and Programming for Data Analytics [AY 21/22]]
Predicting the quality of Wine
Implemented random forest machine learning algorithm using pyspark on AWS EMR to classify the wines. The model is then deployed in docker container.
thesis for Mathematics in Machine Learning course at @Politecnico di Torino.
Machine Learning model to predict the quality of wine using linear regression.
Predicting wine quality based on UCI Wine quality dataset
Predicting quality of white wine using chemical attributes
Wine Quality Prediction
This repository includes ml model of 1.House price prediction using linear regression model | 2.Wine Quality prediction using linear regression model | 3. IRIS Flowers Classification using logistic regression model
I got an internship from Code Clause for the role of Data Science Intern. I had been allocated with 4 tasks, and this repository consists all of them. Hope its helpful if you need any. Thank you.
Implemented back-propagation algorithm on a neural network from scratch using Tanh and ReLU derivatives and performed experiments for learning purpose
This was the final project for the Machine Learning course.
A continuous Machine Learning integration workflow using Github Actions. This project is based upon team collaboration for aesthetic version control for ML pipelines and deployement.
Wine quality depends on the grape quality and some other species. We need to predict the quality of wine.
A wine quality prediction machine learning model π·π uses data to assess and forecast the quality of wines, aiding wine enthusiasts and producers in making informed choices. π€ππ
Data exploration of the wine quality dataset
Basic Machine Learning