scikit-learn Code Sprint with Andreas Mueller

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Join us for an all day open source scikit-learn Code Sprint with Andreas Mueller!

Work with Andreas Mueller, one of the core developers of the scikit-learn machine learning library, and contribute a new feature or fix.

Andreas Muller is an Asst. Research Engineer At NYU Center For Data Science. He is a speaker at our ODSC West conference (http://opendatascicon.com/) on Nov 14-15th and has generously accepted to do a day code sprint.

We Welcome New Contributors

The code sprint is a great time for new contributors to become familiar with the project. We guarantee you will learn something new, and welcome experts and beginners alike.

Machine Learning in Python

scikit-learn has emerged as one of the most popular open source machine learning toolkits, and is widely used in academia and industry. scikit-learn provides easy-to-use interfaces to perform advanced analysis and build powerful predictive models.

We ask that you read the contributing section of the documentation, and then set up a development environment in which you can install scikit-learn from scratch, build it, and use git to push changes to github.

Please review the documentation prior to the code sprint: http://scikit-learn.org/dev/developers

Schedule

9:00am doors open - hang out in gCafe or join us in Galvanize's Theater

9:30am welcome

9:40am workshop on contributing to scikit-learn

10:00am teams form and begin sprinting

12:15pm report back on progress and opportunity to change teams

12:30pm lunch

1:30pm keep on sprinting!

4:30pm teams report back on progress

5:00pm discussions of ongoing collaborations and networking

6:00pm doors close