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Python Introduction to Machine Learning: Parts 1-2
April 25, 2022 @ 2:00 pm - 5:00 pm
This workshop is a 2-part series running from 2 pm – 5 pm on April 25th and April 27th. D-Lab workshops start 10 minutes after the scheduled start time.
The Python Introduction to Machine Learning workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.
Prerequisites: D-Lab’s Python Fundamental introductory series or equivalent knowledge.
Workshop materials: https://github.com/dlab-berkeley/Python-Machine-Learning-Fundamentals
Software Requirements: Installation Instructions for Python Anaconda
Questions? Email: dlab-frontdesk@berkeley.edu
Register for this workshop on the UCSF D-Lab Portal
Zoom links will be sent on the morning of the event.
