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Monday, September 28 • 2:00pm - 4:00pm
Introduction to Machine Learning with Python's scikit-learn

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This talk will be a hands-on introduction to doing Machine Learning with Scikit-Learn in Python. We'll cover how to choose an approach for your model, the scikit-learn API for modeling and exploring some of the ways to share your work. This talk will assume basic familiarity with Object-Oriented Python, IPython Notebooks and some experience working with and reasoning about data.

avatar for Isaac Laughlin

Isaac Laughlin

Data Science Instructor, Galvanize
Isaac Laughlin teaches Data Science theory and practice as part of Galvanize's 12-week Data Science Immersive course. Prior to joining Galvanize he worked on industry-leading models for automotive price prediction at TrueCar.com, built Creds.me--a crowd-sourced platform for predicting the future, and was an RA at the Federal Reserve Board. He has a Masters Degree in Operations Research from the University of Wisconsin Madison.

Monday September 28, 2015 2:00pm - 4:00pm
DataWeek Main Stage

Attendees (15)