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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:
- Norlin E206
- Building:
- Norlin Library
- Categories:
- CRDDS Open Digital Scholarship Services
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Center for Research Data & Digital Scholarship