Statistics in Python: Introduction to Machine Learning in Python with Scikit-learn
The LISA Statistics in Python Short Course Series is a three-part series for doing statistics in Python.
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 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
- Date:
- Wednesday, January 29, 2020
- Time:
- 10:00am - 12:00pm
- Location:
- Norlin E206
- Presenter(s):
- eric.vance@colorado.edu
- Building:
- Norlin Library
- Categories:
- CRDDS