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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Training: Python Fundamentals: Part 4
November 8, 2019
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
Training: Python Fundamentals: Part 3
November 1, 2019
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
Training: Python Fundamentals: Part 2
October 25, 2019
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
Training: Python Fundamentals: Part 1
October 18, 2019
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.
Training: Stata Fundamentals: Part 3
October 30, 2019
This three-part series will cover the following materials:
Part 1: Introduction
Training: Stata Fundamentals: Part 2
October 23, 2019
This three-part series will cover the following materials:
Part 1: Introduction
Training: Stata Fundamentals: Part 1
October 16, 2019
This three-part series will cover the following materials:
Part 1: Introduction
October 18, 2019
Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc.
Training: Geospatial Data in R: Part 2
October 17, 2019
Geospatial data are an important component of social science and humanities data visualization and analysis.
