Therese Anders's repositories

workshop-dataviz-fsu

Workshop on advanced data visualization in ggplot2, taught at the Florida State University Summer Methods School (May 2019).

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Workshop-DataManagement-tidyverse

Introduction to data management in R workshop series.

design-ds-classroom

Materials for the Designing the Data Science Classroom workshop at rstudio::conf 2020

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Workshop-Intro-to-ggplot2

Introduction to data visualization with ggplot2 (April 2017)

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dl-keras-tf

rstudio::conf(2020) deep learning workshop

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ds-workshop-datamanagement

Workshop "Modern data management with R" taught at the Hertie School in January 2020

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ds-workshop-dataviz

Workshop on data visualization in ggplot2, taught at the Hertie School in March 2020

ghclass

Tools for managing classroom organizations

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sdp

Replication data for the article "Bread before guns or butter. Introducing Surplus Domestic Product (SDP)"

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territorialcontrol-jpr

Replication material for "Territorial control in civil wars. Theory and measurement using machine learning"

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Workshop-Maps-in-R

USC POIR Workshop on Maps in R (April 2017)

ds-workshop-r-intro

Workshop "A gentle introduction to base R and RStudio" taught at the Hertie School in January 2020

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applied-ml

Code and Resources for "Applied Machine Learning"

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BDA_R_demos

Bayesian Data Analysis demos for R

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COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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covid19model

Code for modelling estimated deaths and cases for COVID19.

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cshapes

:exclamation: This is a read-only mirror of the CRAN R package repository. cshapes — The CShapes Dataset and Utilities. Homepage: http://nils.weidmann.ws/projects/cshapes, https://r-forge.r-project.org/scm/viewvc.php/*checkout*/pkg/inst/shp/cshapes_shapefile_documentation.txt?root=cshapes

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gdppc_pop_gdp

Estimates of GDP per capita, population, and GDP from a Bayesian measurement model

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glossRy

A glossary of terms used in R and data science.

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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rstudio-conf

Materials for rstudio::conf

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Workshop-LaTeX

USC POIR Workshop on LaTeX (February 2018)

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