D-Lab
- 277 followers
- Social Sciences Building, Berkeley, CA
- http://dlab.berkeley.edu
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Repositories
- R-Machine-Learning Public
D-Lab's 4-hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
dlab-berkeley/R-Machine-Learning’s past year of commit activity - R-Census-Data Public
dlab-berkeley/R-Census-Data’s past year of commit activity - Copilot-Fundamentals Public
D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot
dlab-berkeley/Copilot-Fundamentals’s past year of commit activity - R-Geospatial-Fundamentals Public
D-Lab's 4-hour introduction to working with geospatial data in R. Learn how to import, visualize, and analyze geospatial data in R.
dlab-berkeley/R-Geospatial-Fundamentals’s past year of commit activity - Command-Line-Fundamentals Public
dlab-berkeley/Command-Line-Fundamentals’s past year of commit activity - LLMs-Exploratory-Research Public
D-Lab's 1-hour introduction to using LLMs for exploratory research.
dlab-berkeley/LLMs-Exploratory-Research’s past year of commit activity - R-Causal-Inference Public
D-Lab's 2-hour introduction to causal inference. Learn about core concepts in causal inference, including the potential outcomes framework and essential statistical techniques.
dlab-berkeley/R-Causal-Inference’s past year of commit activity - R-Fundamentals Public
D-Lab's 4 part, 8 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.
dlab-berkeley/R-Fundamentals’s past year of commit activity