DeltaPy: A Framework for Tabular Data Augmentation in Python
3 Pages Posted: 19 May 2020
Date Written: April 22, 2020
A range of data abstractions have come to the fore since the re-emergence of machine learning. This includes procedures like feature engineering, extraction, transformation, and selection, as well as data pre-processing, generation, synthesisation, and augmentation. This report attempts to unify some of this terminology with the development of a bare-bones Python package, DeltaPy.
Keywords: Tabular Data, Augmentation Methods, Machine Learning, Data Science, Feature Engineering, Synthetic Data, Colab Notebook
JEL Classification: C02, C13, C21, C38, C53, C87
Suggested Citation: Suggested Citation