Predicting Wine Quality
Data science project
Project overview
The objective of this project was to apply a polynomial regression, the degree of the polynomial and the variables to transform was at our discretion.
There was a dataset that the features and, with an exploratory data analysis, choose the best predictor variables for them, a mutual information analysis and a correlation analysis were made.
Value of the research
The value of this project is the transformation of variables to a polynomial. In this case it was a problem with two independent variables but there could be more. It was the exploratory analysis that helped me decide which variables to use.
Data and Methods
- Mutual Information
- Correlation matrix
- Polynomial regression
Professors
- Ing. Luis Leal
Screenshots
