Building classification models to predict quality of wines. (Accuracy = 71.33%)
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Updated
Mar 7, 2023 - Python
Building classification models to predict quality of wines. (Accuracy = 71.33%)
Wine Dataset with Gaussian Classifier
Store the exercises carried out in the discipline "Computing Inspired by Nature" of the PPGCC of UNESP.
This project implements two algorithms, K-Nearest Neighbors (KNN) and Large Margin Nearest Neighbor (LMNN) using the Neighbourhood Component Analysis (NCA) approach.
Yanki Saplan - Eli Freedman - Gia Nguyen - Alex Christopher
web crawling tool to retrieve reviews from vivino.com website
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
sentiment search engine developed in the wine sector
🌱 Analytic Hierarchy Process (AHP) implementation
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