Machine Learning classification problem displayed with Flask Application

Building classification models to predict quality of wines. (Accuracy = 71.33%)

Wine Predicts

Predicting wine quality using machine learning

Predicting the quality of a good bottle of wine

ML algorithms for Regression, Classification, Clustering and Dimensional Reduction applied in a Wine Quality Dataset.

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

Wine-quality has been predicted through supervised learning using regression and classification models.

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.

DIY Winery log to track the production process of homemade wine

Obtener el mejor rendimiento para el dataset de vinos de Sklearn para un algoritmo KNN

Coursework submission for EE3-23 Machine Learning module

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.

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.