When

Friday January 15, 2016 from 9:00 AM to 1:00 PM EST
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Where

Northwest Building, B1 Level 
52 Oxford Street
Cambridge, MA 02138
 

 
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Contact

Harvard Paulson School 
Institute for Applied Computational Science
Sheila Coveney, Program Manager 

617-384-9091 
iacs-info@seas.harvard.edu 

 

IACS ComputeFest Workshop:
Introduction to Python's Scikit-Learn Library

Friday, January 15, 2016
9:00am - 1:00pm

In the first part of this workshop we'll discuss a conceptual overview of machine learning, using an example from the prediction of continuous outcomes, or "regression" and we'll also learn the concepts and terminology of machine learning. In the second part of the workshop, we'll work through a complete example of the prediction of labels in data, or "classification" and learn how to use and compare different models to predict labels from data, and ultimately, how to make business decisions based upon these models.

Prerequisites: Python programming, Laptop with Python 2.7, IPython, and scikit-learn installed for in-class work. The Anaconda distribution is highly recommended (https://www.continuum.io/downloads).