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Sri Sitharaman's Projects

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This workshop introduces participants to the Learning Analytics (LA), and provides a brief overview of LA methodologies, literature, applications, and ethical issues as they relate to STEM education.

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Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

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In the spirit of the popular book Automate the Boring Stuff with Python (https://automatetheboringstuff.com/), this workshop will give project-based examples of automating tasks from an Office of Institutional Research using Python. The workshop will utilize a few packages from the Python library. Before the workshop, you'll receive a guide on downloading and running Python on your local machine. During the workshop, we'll review projects, including reading data from a pdf table, automating data processing, writing data to an Excel workbook, and sending reports through email.

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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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a curated list of R tutorials for Data Science, NLP and Machine Learning

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Files and presentation made Sept. 6, 2014 to Kansas City R Users Group: Machine Learning Algorithms Using R's Caret Package

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