Hands-on Machine Learning

Tutorials and exam project at Hands on Machine Larning course, bachelor deegree in Computer Science at University of Molise by Professor Rocco Oliveto.

Exam Project info

Project description:

TODO

Software environment:

• Anaconda individual edition
• SciKit Learn
• Python 3.7.7
• Visual Studio Code

Dataset reference

P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.

Wine Quality Data Set - Download from UCI Machine Learning Repository