Abstract
Ushbu maqolada talabalar bilim darajasini sinflarga ajratish va bashoratlashda mashinali o‘qitish algoritmlari metodikasi keltirilgan. XGBoost,RandomForest va MLP modellari taqqoslangan. Ekspremintal natijalarga ko‘ra, XGBoost 90,3% aniqlik bilan eng samarali algoritm ekanligi aniqlangan. Taklif qilingan metodika ma’lumotlarni tozalash, o‘qitish va baholash bosqichlarini o‘z ichiga oladi. Tadqiqot natijalari ta’limga erta ogohlantrish tizimlari yaratishda keng miqiyosda qo‘llanilishi mumkin.References
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