Predicting the costs of tablets using buyer reviews with regression technique
| dc.contributor.advisor | Lakatos, Vilmos | |
| dc.contributor.author | Gunduz, Murad | |
| dc.contributor.department | DE--Informatikai Kar | |
| dc.date.accessioned | 2024-02-01T09:59:52Z | |
| dc.date.available | 2024-02-01T09:59:52Z | |
| dc.date.created | 2023-11-05 | |
| dc.description.abstract | The study report will focus on the further development of the predicting of tablet expenditures via the use of a buyer review and regression approach. The inquiry form examines several factors that have a substantial influence on tablet use, sectors in which tablets hold great significance, and the drawbacks associated with tablet usage. Furthermore, within the scope of the investigation, many methodologies are used for the evaluation of tasks, such as the utilisation of multiple regression and moving average forecasting techniques. In order to effectively conduct the study, a diverse range of data sources, scholarly publications, and relevant literature were selected in accordance with the objectives of the paper. | |
| dc.description.course | Gazdaságinformatikus | |
| dc.description.degree | BSc/BA | |
| dc.format.extent | 41 | |
| dc.identifier.uri | https://hdl.handle.net/2437/365812 | |
| dc.language.iso | en | |
| dc.rights.access | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
| dc.subject | Predicting | |
| dc.subject | Tablet | |
| dc.subject | COVID-19 | |
| dc.subject | Regression model | |
| dc.subject.dspace | DEENK Témalista::Informatika | |
| dc.title | Predicting the costs of tablets using buyer reviews with regression technique | |
| dc.title.translated | Predicting the costs of tablets using buyer reviews with regression technique |
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