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Seattle Data Science: Analyzing NFL Losses-Wins in Relation to the Weather

January 6, 2016 @ 6:00 pm - 9:00 pm

19888985491-17208682

Using Spark and SparkML we can do some simple correlation exercises to see if the weather has any impact on NFL losses /wins. Our headline speaker will walk through some simple techniques to clean up the data and shape it to be analyzed.

This event is a great opportunity to learn some simple and quick ways to get data, cleanse data and rapidly spin up a place to work on it. The presentation will be done on the Data Science Workbench, a free tool that makes it fun and easy to learn these skills.

Prerequisites

Beginner to Intermediate – Python, Spark and some simple statistical approaches.

Our Speakers

Braden Callahan is a Spark and Big Data Evangelist at IBM. He speaks often on topics around Big Data and leveraging different data sources and approaches to gain insight. In his past he has been a Sr. Director of Business Intelligence at Demand Media and held Architecture roles at IBM and MapR.

Ruth Stern is the founder of Sternshus Collective and is a member at Galvanize. She will open the event with a talk on NLP

Special thanks to IBM for their support of this event. Learn more about their data science initiatives such as HadoopWorkbench, and Watson.

Details

Date:
January 6, 2016
Time:
6:00 pm - 9:00 pm

Venue

Galvanize Seattle – Pioneer Square
111 South Jackson Street
Seattle, WA 98104

Organizer

Galvanize