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Creating fair machine learning models with Generative Adversarial Networks using R.

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Creating fair machine learning models with Generative Adversarial Networks

We explore the use of Generative Adversarial Networks (GAN) for fighting hidden bias in data in order to train a classifier that is both optimal and fair.

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We have used RStudio's Notebook: One can open the R Markdown file in RStudio.

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Creating fair machine learning models with Generative Adversarial Networks using R.

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