[scikit-learn] Scikit-learn at Data Intelligence this past weekend

[Jacob Schreiber]

Thanks for the summary. I was there as well, and it seemed like
scikit-learn had a strong showing. It seemed as though many talks that
weren't directly on scikit-learn still mentioned it or used the models
during the presentation.

On Fri, Jun 30, 2017 at 9:47 AM, Francois Dion <francois.dion at gmail.com>
wrote:

> This past weekend was the Numfocus sponsored Data Intelligence conference
> at Capital One, in Mclean, Virginia (close to Washington DC for those not
> familiar with the US geography).
>
> A few presentations mentioned/used scikit-learn, including Ben Bengfort's
> Visual Pipelines (
> http://data-intelligence.ai/presentations/13 ), Zachary Beaver's Airflow
> + Scikit-Learn ( http://data-intelligence.ai/presentations/19 ) and
> Pramit Choudary's Learning to Learn Model Behavior (
> http://data-intelligence.ai/presentations/22 ), to name a few.
>
> I presented "Seeking Exotics" on Sunday (http://data-intelligence.ai/
> presentations/21), on anomalous and erroneous data, and how statistics,
> visualizations and scikit-learn can help (covered PCA, truncatedSVD, t-sne,
> ellipticenvelope, one class classifiers and scikit-learn related
> imbalanced-learn and sk-sos).
>
> One of the slide I had up resonated quite a bit with the audience, both in
> person and on social media:
>
> https://twitter.com/tnfilipiak/status/878999245076008960
>
> The notebooks are on github: https://github.com/fdion/seeking_exotics
>
>
> Francois
> --
> @f_dion - https://about.me/francois.dion - https://www.linkedin.com/in/
> francois-dion-8b639b79/
>
>
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