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

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

Wine Predicts

Previsão de Qualidade de Vinho com Redes Neurais Este repositório contém uma aplicação Flask que utiliza uma rede neural para prever a qualidade do vinho com base em suas características.

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

K means clustering implementation on the wine quality dataset

CPC152 Foundations and Programming for Data Analytics [AY 21/22]]

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.

Implemented random forest machine learning algorithm using pyspark on AWS EMR to classify the wines. The model is then deployed in docker container.

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.