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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

Data Collection for Machine Learning

Megha Kharat, Sheetal Wadhai

DOI: 10.17148/IJARCCE.2022.11527

Abstract: We have presented an overview of strategies used in the applied behavioural sciences to assess variables. The majority of the methodologies are employed to varying degrees by quantitative/positivist and qualitative/constructivist researchers. Qualitative researchers prefer less regimented, more open-ended data collection procedures than quantitative researchers.

How to Cite:

[1] Megha Kharat, Sheetal Wadhai, “Data Collection for Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11527