ARCHIVE

End-to-End Reusable Data Analytics Pipeline Using Machine Learning

Authors : Aishwarya Umare, Akanksha Deshmukh, Harsh Kalbande, Lalit Bhanarkar, Prof. Riddhi Doshi DOI : 10.46335/IJIES.2024.9.7.14  Article Link Abstract— This paper presents a comprehensive approach to designing an end-to-end reusable data analytics pipeline using machine learning (ML) concepts. The proposed pipeline combines different machine learning techniques, such as data preprocessing, feature engineering, model training, and evaluation, […]

READ MORE