The first Capstone project developed in cooperation with international experts from the IT industry
Yesterday, within the School of Computer Science and Information Technology, we attended the graduate thesis that focused on the topic of “Predictive Modeling of Housing Prices: A Comparative Analysis of Linear Regression, Decision Trees and Random Forest” by the student Dijana Damchevska, as the first Capstone project developed in cooperation with international experts from the IT industry. The work in the field of data science was supervised by SCSIT professors and was led by Filip Makraduli, MSc – SEG Holding, NGO Smart Agenda, UK.
