This project was created by Marios Apostolidhs as part of a university assignment for the Business Analytics course. It explores a real estate dataset from King County (USA) and applies linear regression techniques to analyze and predict house prices. The work includes basic data cleaning, visualization, and the development of both simple and multiple linear regression models. It’s a hands-on attempt to apply what we learned in class to a real-world dataset.

Marvel Logistics

This is a project prepared by Marios Apostolidhs(acID iis20181) for the needs of the course "Business Analytics" of the Faculty "Applied Informatics" of the University of Macedonia.