Wine Quality Prediction Using Machine Learning

I love everything that’s old, — old friends, old times, old manners, old books, old wine. — Oliver Goldsmith

Having read that, let us start with our short Machine Learning project on wine quality prediction using scikit-learn’s Decision Tree Classifier.

First of all, we need to install a bunch of packages that would come handy in the construction and execution of our code. Write the following commands in terminal or command prompt (if you are using Windows) of your laptop.

numpy will be used for making the mathematical calculations more accurate, pandas will be used to work with file formats like csv, xls etc. and sklearn (scikit-learn) will be used to import our classifier for prediction.

We are now done with our requirements, let’s start writing some awesome magical code for the predictor we are going to build.

Let’s start with importing the required modules…

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