Next Meetup

Map the Stock Market with Self Organizing Maps (SOMs)
Self-organizing maps are an unsupervised learning approach for visualizing multi-dimensional data in a two-dimensional plane. They are great for clustering and finding out correlations in the data. In this workshop we will apply self-organizing maps on historical US stock market data to find out interesting correlations and clusters. You should have a working knowledge of Python and machine learning, not for beginners. Bring your laptop.

WeWork Penn Station

315 W 36th Street · New York, NY


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What we're about

There are a lot of groups which discuss and present big data and machine learning concepts. What we're interested in doing with this meetup is to hold practical workshops focusing on tooling and techniques and actually learn to use them during the workshop. Everybody should bring their laptops to work on actual code and data analytics. We'll pick a different problem each workshop.

As a complementary set of activities, we also regularly hold Happy Hour events where we can mingle, network and talk shop in a low stress environment.

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