Predicting the quality of a good bottle of wine
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Updated
Dec 13, 2017 - Python
Predicting the quality of a good bottle of wine
Wine-quality has been predicted through supervised learning using regression and classification models.
Wine Predicts
Building classification models to predict quality of wines. (Accuracy = 71.33%)
Machine Learning classification problem displayed with Flask Application
Predicting wine quality using machine learning
DIY Winery log to track the production process of homemade wine
A neural network for wine quality prediction
We're going to use some models to predict the Datasets and show the predictions results in a table.
K means clustering implementation on the wine quality dataset
Using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) on same dataset and analyzing the best one
A feedforward neural network to predict wine quality based on a number of scientific factors. NOTE: This is purely an educational project. This is neither an efficient nor realistic neural network for commercial use.
This repo contains an end-to-end project for predicting wine quality using machine learning.
ML algorithms for Regression, Classification, Clustering and Dimensional Reduction applied in a Wine Quality Dataset.
Coursework submission for EE3-23 Machine Learning module
Obtener el mejor rendimiento para el dataset de vinos de Sklearn para un algoritmo KNN
Classification of wine quality using a hard_parzen and a soft_parzen with gaussian kernel models
This project is designed to predict the quality of red or white wine based on various features. It utilizes Streamlit for the user interface and incorporates machine learning models from scikit-learn.
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