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

[Francois Dion]

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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