Thanks to the dataset generated by P. Cortez of the University of Minho, we proposed a binary classification project between white and red wines. Our intelligent algorithm will have to predict the wine class given a certain wine characteristics.
In this project we will perform visualizations with seaborn and matplot lib. Additionally, we will apply an analysis of our dataset with pandas and a data preprocessing with sklearn. We will finish with the creation of two classifier models: KNeighborsClassifier and LogisticRegression. We will use the sklearn metrics to evaluate and compare our results.