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In the world of information technology, companies use data to improve the customer experience and provide better services to their customers. Sometimes, the collection of data can be tedious and costly.
Currently, GANs is are popularly applied to generate image data, but very few works are done on the tabular data. One of the reasons is non-image synthetic data is difficult to evaluate quality. In this work, we are trying to generate synthetic data from scratch.
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In order to generate synthetic data, we are considering deep learning technique techniques such as GANs.
SYNTHETIC TABULAR DATA GENERATION USING GANs BASIC VERSION (DEVELOPED ON THE BASIS OF EXISTING WORK):-
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