This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
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This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
Geospatial data are an important component of social science and humanities data visualization and analysis.
In this workshop we will cover the most common CTA task: supervised classification.
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.
This hands on workshop builds on part 1 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.
This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques
For this workshop, we'll provide an introduction to visualization with Python.