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

Wine Dataset with Gaussian Classifier

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

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

web crawling tool to retrieve reviews from vivino.com website

Useful ampelographic info about native wine grapes in different countries

Yanki Saplan - Eli Freedman - Gia Nguyen - Alex Christopher

sentiment search engine developed in the wine sector

Complete ML pipeline training 4 classifiers on Wine Dataset with MLflow experiment tracking and Model Registry.

creating a model that predicts wine quality using wine data from ucimlrepo

This is a SteamLit Web-App which delves in Exploratory Data Analysis with Iris, Breast-Cancer and Wine datasets using ML models like KNN's, SVM's and Random Forests

A complete machine learning web application built with Streamlit that classifies wines based on their chemical properties using a Random Forest model.

🌱 Analytic Hierarchy Process (AHP) implementation

Wine variety classifier containerized with Docker, served via FastAPI with CI/CD pipeline and automated tests.