Abstract
Abstract: This paper introduces a novel web application designed for automated analysis and modelling of structured data. The application eliminates the need for user coding, allowing users to interact with the data through a user-friendly interface. By uploading a structured dataset, users can leverage the application's functionalities to improve data quality. These functionalities include, but are not limited to, data cleaning and pre-processing. One of the key strengths of this application is its ability to automatically generate machine learning models based on the uploaded data. Furthermore, the application takes the automation a step further by training the generated models without requiring user intervention. This eliminates the need for data science expertise, making the power of machine learning accessible to a wider audience. This paper details the application's architecture and functionalities, along with an evaluation of its effectiveness in data analysis and model building. The paper discusses the application's potential impact on democratizing data science and its limitations for future research directions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal for Research in Applied Science and Engineering Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.