April 16, 2019

This hands on workshop builds on part 1 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods.

April 18, 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 18, 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 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 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.

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:

April 11, 2019

R Fundamentals Part 4: Putting it all together

April 9, 2019

R Fundamentals Part 3: Data Exploration and Analysis

April 4, 2019

R Fundamentals Part 2: Subsetting and Reshaping

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