GitHub - uh-dcm/data-science: University of Helsinki course "Data science and machine learning for social science."

Programming exercises for class "Data science and machine learning for social science."

See syllabus for assigned readings for each method.

The course has been organized

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
.gitattributes		.gitattributes
00 Setup Python.ipynb		00 Setup Python.ipynb
00 Setup R.ipynb		00 Setup R.ipynb
Association rules (Python).ipynb		Association rules (Python).ipynb
Association rules (R).ipynb		Association rules (R).ipynb
Decision trees and random forests (Python).ipynb		Decision trees and random forests (Python).ipynb
Decision trees and random forests (R).ipynb		Decision trees and random forests (R).ipynb
Dictionary methods (Python).ipynb		Dictionary methods (Python).ipynb
Dictionary methods (R).ipynb		Dictionary methods (R).ipynb
K-means and clustering (Python).ipynb		K-means and clustering (Python).ipynb
K-means and clustering (R).ipynb		K-means and clustering (R).ipynb
README.md		README.md
Support vector machines (Python).ipynb		Support vector machines (Python).ipynb
Support vector machines (R).ipynb		Support vector machines (R).ipynb
Topic models (Python).ipynb		Topic models (Python).ipynb
Topic models (R).ipynb		Topic models (R).ipynb

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