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 (1/22/2020)

SOFTWARE REQUIREMENTS: https://github.com/kernelmethod/Python-Data-Science-Workshop#required-software-
REPOSITORY LINK: https://github.com/kernelmethod/Python-Data-Science-Workshop
Join Zoom Meeting https://cuboulder.zoom.us/j/329033006 Meeting ID: 329 033 006