Lisans Dersleri için Zaman Serisi ile Açılacak Şube Sayısı ve Kontenjanlarını Tahmin Eden Yapay Zekâ Sisteminin Geliştirilmesi

This project aims to address the problems experienced in traditional methods used in determining course quotas and number of sections in universities. This project, carried out with the support of Atılım University Undergraduate Research Projects, aims to optimize this process by using machine learning models. In the project, XGBoost and LightGBM were examined and their ability to make high-accurate predictions was tested.