This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a
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April 16, 2019
This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a
April 3, 2019
This session focuses on explaining the proces of creating, organizing, and applying codes within the context of qualitative research.
Training: Qualitative Research Primer
April 1, 2019
This session introduces qualitative research, and is recommended for folks who are new to research in general or to qualitative research in particular.
The agenda will be as follows:
Training: R Fundamentals: Part 1
April 2, 2019
Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field.
Training: R Graphics with ggplot2
April 12, 2019
This workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2.
April 10, 2019
This workshop introduces the basic principles of understanding digital imagery, including the fundamentals of multi-spectral imagery.
