Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive.
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Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive.
In this workshop we will cover the most common CTA task: supervised classification.
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
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.
This workshop will cover the main types of weighting, to correct for bias in sample data.
This two-part series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel.
This two-part series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel.