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.

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.

Coursework submission for EE3-23 Machine Learning module

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

Having fun with MLOPS: Wine Stuff

In this project I did lot of efforts because the dataset used was imbalanced that's why i couldn't find any ML algorithms that gave me good results, I tried different Sampling techniques, although nothing happened. Finally I build this project using ANN and got an 77% accuracy and also very good precision, recall and f1 score.

🍷 API used to estimate the quality of wine using a machine learning model.

Example data-science web application, from "Hello, World!" to app

App for pK spectroscopy.

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

Predicting the quality of a good bottle of wine

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

Classification of wine quality using a hard_parzen and a soft_parzen with gaussian kernel models