🐙 GitHub Detail
dlab-berkeley/Computational-Social-Science-Training-Program
By dlab-berkeley
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.
Live Snapshot
⭐
Stars
293
🍴
Forks
114
📄
License
Unknown
🧩
Type
Jupyter Notebook
About this open-source project
Live information fetched from GitHub.
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.
Default Branch
main
Open Issues
3
Watchers
293