Bibliographic Details
| Title: |
Using machine learning algorithms to develop a web application for predicting prices on the stock market |
| Authors: |
Spirina, Ye. A., Temirtas, D., Samoylova, I. A. |
| Publisher Information: |
БГТУ, 2023. |
| Publication Year: |
2023 |
| Subject Terms: |
web applications, machine learning, web application development, price forecasting, модели линейной регрессии, прогнозирование цен, машинное обучение, linear regression models, разработка web-приложений, web-приложения |
| Description: |
Machine learning techniques are a powerful tool for predictive data analysis, especially in the financial sector. The article discusses the possibility of using linear regression models when developing a web application designed to forecast prices on the stock market. |
| Document Type: |
Article |
| File Description: |
application/pdf |
| Language: |
English |
| Access URL: |
https://elib.belstu.by/handle/123456789/61476 |
| Accession Number: |
edsair.od......3992..9a8e4d5f5dd8f82c072c0cd288d8f5b0 |
| Database: |
OpenAIRE |