On May 23, 2025, the Faculty of Computer Science, Physics and Mathematics at Kherson State University hosted an engaging lecture titled “Comparative Evaluation of Machine Learning Models for Rental Price Prediction Using a Web Service.”
The speaker was Professor Vitalii Mykolaiovych Kobets, Doctor of Economics and Professor of the Department of Computer Science and Software Engineering.
🔍 Participants gained:
hands-on knowledge on how to build an ML-powered service for real estate price forecasting;
a comparative analysis of the effectiveness of popular algorithms (linear regression, decision trees, random forest);
insights into web architecture for applications with an integrated ML engine.
A particular highlight of the lecture was the analysis of real-world data: over 1,000 listings from DOM.RIA were examined to identify which factors actually influence rental prices. Spoiler: square footage is far from the only one!
🛠️ The technical segment of the lecture included:
the concept of Explainable AI (XAI),
model interpretability techniques and visualizations,
a live demonstration of the full development cycle: from data collection to a fully functional web service — in just 80 minutes!
The event offered a valuable opportunity to see how machine learning can be applied to solve real-world problems and help people make informed decisions in the housing market.
🙏 Thank you to everyone who joined us!
📺 A recording of the lecture is available on the faculty's official YouTube channel.
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