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Variational AutoEncoder for Dimensionality Reduction in Finance

This notebook revolves on a full-cycle application of Variational AutoEncoders for dimensionality reduction. It is designed to be used on finance data. It is also about exploring the possibility of Index creation.

License

This code is under AGPLv3 license.

The code

As dataset, data from Yahoo Finance was used and anonymized.

It is based on a pair of Python notebook files:

  • Data Preparation
  • Model, results and Index Creation

2019-04-10: First release

vae-dimredfinance's People

Contributors

humbertosouza avatar marieimokoyende avatar

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