This project is about the prediction of red wine quality using different machine learning algorithms

This repository contains my machine learning models implementation code using streamlit in the Python programming language.

Linear discriminant Analysis(LDA) for Wine Dataset of Machine Learning

🍷 A project for analyzing red and white wine quality using R, combining exploratory visualizations, PCA, and a regression model to uncover chemical correlates of wine ratings. The script automates data fetching, cleaning, plotting, and modeling, offering a reproducible pipeline for statistical exploration.

This repository contains machine learning programs in the Python programming language.

Performed different tasks such as data preprocessing, cleaning, classification, and feature extraction/reduction on wine dataset.

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

Wine Dataset with Gaussian Classifier

PCA(Principle Component Analysis) For Wine dataset in ML

NTHU EE6550: Machine Learning

Webscraping of Signorvino.com, an Italian wine e-commerce website. The task is performed with Selenium library in Python

MSDS 410 Data Modeling for Supervised Learning (R)

This project implements two algorithms, K-Nearest Neighbors (KNN) and Large Margin Nearest Neighbor (LMNN) using the Neighbourhood Component Analysis (NCA) approach.

LDA(Linear discriminant Analysis) for Wine Dataset in machine learning

web crawling tool to retrieve reviews from vivino.com website

Store the exercises carried out in the discipline "Computing Inspired by Nature" of the PPGCC of UNESP.

Introducing Flask Program for wine Dataset

A New Support Vector Finder Method, Based on Triangular Calculations and K-means Clustering

Implementation of Hybrid fuzzy-rough Rule induction and feature selection paper 2009 by Richard Jensen

GPT-3 wine recommendation website

A web app to show how easy it is to analyze datasets with a large number of attributes using Chernoff faces concept.

Applying Clustering algorithm on famous WIne Dataset from Kaggle.

statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews

Wine Classification with Neural Network

Useful ampelographic info about native wine grapes in different countries

This project applies deep learning techniques to predict wine quality based on various features in wine datasets. It includes data preprocessing, model building, training, EDA and evaluation steps, achieving high accuracy in wine quality prediction and insights of the datasets. Tools used: Python, TensorFlow/Keras, Pandas, Seaborn and Scikit-learn

Matlab implementation of the nearest neighbour model/algorithm applied on the wine uci-ml database

WhiteWine — Scala functional programming and data exploration of a white‑wine dataset | HES‑SO student project 2023

This repo contains machine learning projects about some popular datasets. In each project, exploratory data analysis is made before building the model.

Yanki Saplan - Eli Freedman - Gia Nguyen - Alex Christopher