This project investigates the quality of red wine and its correlation with various factors to enhance understanding and improve wine production processes.
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Updated
Apr 18, 2024 - HTML
This project investigates the quality of red wine and its correlation with various factors to enhance understanding and improve wine production processes.
This is a wine dataset containing 1599 rows and 12 columns with factors like alcohol, color, PH, residual sugar, sulfur-dioxide was used to determine the quality of wine varying with color.
The Prediction and Classification of Wine Quality
The Informational Content of Geographical Indications
In R markdown, with heavy use of ggplot2, I explored the physiochemical properties and quality ratings of over 6,000 wines with an eye to ML classification and prediction.
Wine Vision - Rediscover Quality
We build a machine learning model to predict if a wine is considered as good or not. The model takes as input some wine characteristics (alcohol content, acidity, etc), and then describes the quality of the wine as (“Good” or “Bad”). We starts with decision tree and then use Random Forest to improve our classification scores.
This repo contains EDA of red and white wine and how it relates to quality.
Contains projects needed to complete Udacity's Data Analyst Nanodegree Program
Udacity's Nanodegree program built in partnership with Kaggle and Mode that aims at training new Data Analysts mastering Python, R, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.
Use R and apply exploratory data analysis techniques to explore relationships in one variable to multiple variables and to explore the red wine data set for distributions, outliers, and anomalies.
White Wine Exploratory Analysis
Exploratory Data Analysis on White Wine Quality Using r
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