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Statistics in Python: Introduction to Machine Learning in Python with Scikit-learn

This course introduces the Scikit-learn library for doing Machine learning in Python. Students will start by learning about support vector machines, and gradually explore how Scikit-learn allows you to build a full machine learning pipeline, from feature extraction all the way through to prediction.

ZOOM Address  https://cuboulder.zoom.us/j/4239862482

PREREQUISITES: Understanding of Numpy.

RECOMMENDED: Attendance in Statistics in Python: Python Data Wrangling (10/30/2019)

SOFTWARE REQUIREMENTS: See https://github.com/wshand/Python-Data-Science-Workshop#required-software-

#LISA #CRDDS

 

Date:
Wednesday, November 6, 2019
Time:
10:00am - 12:00pm
Location:
Norlin E206
Building:
Norlin Library
Categories:
  CRDDS  
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Center for Research Data & Digital Scholarship