Generating synthetic data is important for a number of machine learning problems at Mastercard especially in the areas of additional data generation for imbalanced problems, data sharing etc. The data is mostly tabular in nature and a number of techniques exist for generating tabular data in the literature. However most of these techniques do not […]
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