Багатофакторне прогнозування статистичних трендів для задач data science

• Date: 2024
• Main Authors: Pysarchuk, Oleksii, Andreieva, Tetiana, Grinenko, Olena, Baran, Danylo
• Format: Article
• Language: English
• Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2024
• Subjects: Data Science; багатофакторне прогнозування; статистичні тренди; прогнозування курсу валют
• Online Access: http://journal.iasa.kpi.ua/article/view/287739
• Journal Title: System research and information technologies

The article deals with the processes of multi-factor forecasting of statistical trends for Data Science problems. Most of the classic approaches to data processing consist of studying the consequences of phenomena rather than the factors of their appearance. At the same time, the factors affecting t...