Beverage-Quality-Prediction-ML

The project is implemented with Machine Learning for the detection of the quality of a beverage. The Concept of the project revolves around a particular work flow.

Work Flow

• Beverage data
• Data Analysis
• Data Pre Processing
• Train Test split
• Random forest model
• New Data-------->Trained Random Forest Model---------> Quality of Wine

  Kaggle

  Kaggle's Dataset has been used build various classification models to predict whether a particular red wine is “good quality” or not.

The quality of a wine is determined by following:

Fixed acidity
Volatile acidity
Citric acid
Residual sugar
Chlorides
Free sulfur dioxide
Total sulfur dioxide
Density
pH
Sulfates
Alcohol