This workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2.
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It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangl
This workshop introduces Artificial Neural Networks (ANNs), a group of popular machine learning algorithms.
This workshop will introduce the plotly Python module and guide attendees from the getting-started phase through the creation of complex, beautiful visualizations that may be shared on the web.
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes.
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes.
In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification.
This hands on workshop builds on part 2 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
This non-technical workshop provides an overview of computational text analysis methods and tools.