A first look into several time series datasets from quandl (namely top tech companies stock close prices) and an attempt to find patterns in such series using de-noising and data compression via variational autoencoders. Exploring the possibility of clustering/creating classes using GMM akin to the MNIST dataset.
☆16Mar 24, 2018Updated 7 years ago
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