Academic Journal
Using machine learning algorithms to develop a web application for predicting prices on the stock market
| 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 |
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