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-
- Wednesday, November 6, 2019
- 10:00am - 12:00pm
- Norlin E206
- Norlin Library