Our aim was to determine variation in white and red wine using the variables alcohol, fixed acidity, volatile acidity, residual sugar, critic acid, chlorides, free sulphur dioxide, total sulphur dioxide, density, pH and sulphates and to facilitate comparison between the two wines taking these variables and the best models into consideration.
For the analysis we have compared different models in order to determine which of the following models will be the best to predict the quality of wine and also which attributes are more significant than others.
- Decision Tree
- LASSO
- Ridge
- Multiple Regression
- RStudio
- Karan
- Gunnika
- Ravinder
- Amit
- Sparsh
Please download our infographic to get a summary of the project and read the report to better understand how different attributes like % of Alcohol, pH, Residual sugar, etc affects quality of wine. Also, to access the dataset please contact me on LinkedIn and I will give you access to the drive link.