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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. 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-

Date:
Monday, April 22, 2019
Time:
12:00pm - 2:00pm
Location:
E206
Campus:
Norlin Library
Categories:
  CRDDS     Open Digital Scholarship Services  
Registration has closed.

Host

Center for Research Data & Digital Scholarship