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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
Questions? Email: firstname.lastname@example.org(link sends e-mail)