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.

  • PREREQUISITES: Understanding of Numpy.
  • RECOMMENDED: Attendance at Statistics in Python: Python Data Wrangling (4/15/2019).
  • SOFTWARE REQUIREMENTS: See https://github.com/wshand/Python-Data-Science-Workshop#required-software-

Monday, April 22 at 12:00pm to 2:00pm

Norlin Library, E206
1157 18th Street, Boulder, CO 80309

Event Type

Workshop/Training

Interests

Education, Research & Innovation, Development & Training

Audience

Students, Faculty, General Public, Staff, Postdoc

College, School & Unit

University Libraries

Tags

coding, statistics, CRDDS, Libraries

Group
Center for Research Data and Digital Scholarship
Hashtag

#crdds

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