No-code platform for time series prediction

Baksáné Varga, Erika and Guichi, Youcef (2022) No-code platform for time series prediction. PRODUCTION SYSTEMS AND INFORMATION ENGINEERING, 10 (3). pp. 82-97. ISSN 1785-1270

Preview

Text 1980-Article Text-14480-1-10-20241125.pdf - Published Version Download (773kB) | Preview

Abstract

Machine learning platforms that provide no-code capabilities allow for users to use machine learning without advanced domain knowledge or training. These tools enable those having no formal expertise in software development to create machine learning applications. Our analysis of existing no-code ML platforms reveals that most of them offer core ML, but not deep learning network models and can not be accessed for free. Therefore we have created a web-based application that allows researchers to experiment with machine learning solutions concerning time series prediction without the need for coding. This paper presents a case study demonstrating the operation of the platform.

Actions (login required)

Edit Item