Wine Quality test using machine Learning

Great Learning brings you this live session on "Wine Quality test using machine Learning". In this session, you will be working on an end-to-end case study to understand the different stages of Model building using the Machine Learning concept. This will deal with "data manipulation" with pandas and Numpy, and "data visualization" with Matplotlib and Seaborn libraries with the Wine quality dataset. After Data manipulation and Data visualization, Exploratory data analysis will be performed and then an ML model will be built on the wine quality dataset to create a model/system which can predict the wine quality according to the different attributes. You will also learn about the basics of the sci-kit-learn library to implement the machine learning algorithm.