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-