Python Intro to Machine Learning: Parts 1-2

Python Intro to Machine Learning is a 2-part series running from 10am-1pm each day:

• Part 1: Wednesday, February 23
• Part 2: Monday, February 28

This 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(link is external)

Software Requirements:Installation Instructions(link is external) for Python Anaconda

Please register on the UCSF Registration for D-Lab Workshop portal here.