Ensemble machine learning methods are often used when the true prediction function is not easily approximated by a single algorithm.
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April 25, 2016
A picture paints a thousand words! But in reality, with the exception of using sample survey weights, graphing data and results is often one of the most troublesome aspects of data analysis.
Training: Intro to Machine Learning in H2O
April 6, 2016
The focus of this workshop is machine learning using the H2O R and Python packages.
Training: Stata Programming
April 28, 2016
This is the third workshop in a 3-part Stata series offered at the D-Lab that includes: 1) Intro to Stata,
Training: Data Analysis in Stata
April 21, 2016
This is the second workshop in a 3-part Stata series offered at the D-Lab that includes: 1) Intro to Stata
Training: Introduction to Stata
April 14, 2016
March 28, 2016
This workshop will cover how to determine the geographic coordinates for address data. This is useful for creating maps, linking to other geospatial data, or finding distances between points.
Training: Creating Maps in R
April 29, 2016
This workshop will introduce methods and libraries for mapping spatial data in R.
Training: Mapping Census Data in Desktop GIS
April 8, 2016
The goal of this workshop is to show students how to map census data using QGIS, a free and open source desktop software tool for working with geographic data.
Training: Mapping with Python
April 20, 2016
We'll learn about spatial data projection, cartography, and basic spatial analysis in Python.
