The process of modeling product demand using machine learning algorithms: The process of modeling product demand using machine learning algorithms

Камилов, Мирзаян, Худайбердиев, Мирзаакбар, Алимжанова, Ойимбуш

Al-Farg'oniy avlodlari · 2024-yil

Annotatsiya

This article investigates the process of modeling demand for goods using machine learning methods. Each method is evaluated based on forecast accuracy, adaptability to market changes, and training time. The aim of the research is to determine the most effective method for forecasting demand for goods.

Maqola ma’lumotlari
MualliflarКамилов, Мирзаян, Худайбердиев, Мирзаакбар, Алимжанова, Ойимбуш
JurnalAl-Farg'oniy avlodlari
Nashr sanasi2024-06-05
Son2
Betlar249-254
TilRus

Kalit so‘zlar

линейная регрессия, прогнозирование спроса, анализ данных, электронная коммерция, зависимость переменных, машинное обучение, эффективность моделирования., linear regression, demand forecasting, data analysis, electronic commerce, variable dependence, machine learning, modeling efficiency., chiziqli regressiya, talabni prognozlash, ma'lumotlarni tahlil qilish, elektron tijorat, o'zgaruvchan bog'liqlik, mashinani o'rganish, modellashtirish samaradorligi.

Ilmiy soha

Al-Farg'oniy avlodlari jurnalidan boshqa maqolalar

Al-Farg'oniy avlodlari — barcha maqolalar