Cheers to Intelligence
Beyond the Bottle
Exploring Red Wine Quality through the Lens of Machine Intelligence
Problem Statement
Develop an accurate machine learning model capable of predicting red wine quality scores based on the given features. Employ regression techniques to ensure the model captures the underlying relationships between chemical attributes and quality.
1600
Wine Records
1 - 10
Wine Grade
11
Quality Factors
What are thefactors?
Gain insights into which features play pivotal roles in determining high or low-quality ratings
Fixed Acidity
Fixed acidity refers to the total concentration of acids present in the red wine, contributing to its overall tartness and structure.
Volatile Acidity
Presence of volatile acids, particularly acetic acid, which can give wine undesirable vinegar-like qualities at elevated levels.
Citric Acid
Citric acid contributes to the overall acidity of the wine, imparting a zesty and citrusy character.
Residual Sugar
Residual sugar is the amount of sugar remaining in the wine after fermentation, influencing its sweetness.
Chlorides
Balanced chloride levels contribute to a more rounded flavor profile affecting wine quality.
Alcohol
Alcohol content contributes to the body, warmth, and overall structure of the wine.
Density
Density is a measure of the wine's mass per unit volume and contributes to its mouthfeel and viscosity.
pH
Wines with a balanced pH tend to have a harmonious taste, while extreme pH levels can lead to astringency or flatness.
