Python Machine Learning Fundamentals: Part 1 of 2

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 Fundamentals introductory series or equivalent knowledge.

Workshop materials: https://github.com/dlab-berkeley/Python-Machine-Learning-Fundamentals(link is external)

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

Is Python Not working on your laptop?
Attend the workshop anyway, we can provide you with a cloud-based solution(link is external) until you figure out the problems with your local installation.

Feedback: After completing the workshop, please provide us feedback using this form