Wine Quality Modelling

As part of a Cuantitative Methods class, we were assigned to analyze and predict some variables from any dataset. This was a team project and my team chose the Wine Quality dataset which can be found here . We decided to focus on the alcohol variable and found that the density is the property that influences this the most. With this I was able to build a model using Random Forests to predict the grade of alcohol. The code and complete report can be found below.

Date
February 2022 — June 2022
Stack
Python, MATLAB

Code
docs.google.com/document/d/1T64EPQsOBjfk6al-8v2DnE6GUloE7w3LwBR6f8PuWfs/edit?usp=sharing

This project helped me apply a lot of the data science knowledge I had learned in previous classes. Since the dataset was pretty clean, there wasn't much to be done with the data. I think it is really cool how just about any set of data can tell a certain story or can be useful to find out things.