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
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Updated
Dec 14, 2022 - Python
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
Wine classification. Data analysis using K-NN method and PCA. Finished 2022
I will be working with the Wine dataset. This is a 178 sample dataset that categories 3 different types of Italian wine using 13 different features.
Naive Bayes classifier. (2021)
Finding Quality of wine using clustering principles
sentiment search engine developed in the wine sector
Data Science Challenge: Uncovering the Hidden Profiles in Wine Data
Principal Component Analysis Using Python
Exploratory Data Analysis and Classification Modeling using the Red Wine dataset from Kaggle
Different wordcloud visualisations based on wine quality dataset
preprocessing wine data set using matlab/octave
A basic machine learning project, aimed to study the machine learning concepts and apply them to a real worls data.
Analysis of wine characteristics for subsequent classification according to the type of wine (White or Red).
Este repositório contém uma implementação do algoritmo SVM para classificação de dados nos datasets Iris e Wine, usando a linguagem R com RStudio. Você pode executar o código localmente ou com Docker.
This repository contains a data analysis project that focuses on a series of wine data. The project was completed using Python libraries such as NumPy, Pandas, Seaborn, and Matplotlib. The goal of this project was to gain insights into the characteristics of the wines and to practice data analysis skills.
🌱 Analytic Hierarchy Process (AHP) implementation
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