karalynlacey

karalynlacey's Stars

• dlab-berkeley/Computational-Social-Science-Training-Program

  This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.

  Language:Jupyter Notebook20992

• dlab-berkeley/R-Fundamentals-Legacy

  D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

  Language:R14050

• dlab-berkeley/Python-Fundamentals-Legacy

  D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using Python and Jupyter Notebooks.

  Language:Jupyter Notebook168112

• mfengx/SS-Project-2-Team5-Fall-2022

  computational social science project2

  Language:Jupyter Notebook1

• alagiazero/GitHub-Collaboration-Practice

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