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

<https://repo.masters-masters.com/repos/dlab-berkeley/Computational-Social-Science-Training-Program>

[Accueil](https://repo.masters-masters.com/) › [dlab-berkeley](https://repo.masters-masters.com/owners/dlab-berkeley) › [Computational-Social-Science-Training-Program](https://repo.masters-masters.com/repos/dlab-berkeley/Computational-Social-Science-Training-Program)

dlab-berkeley/Computational-Social-Science-Training-Program, dépôt open source à 309 étoiles sur GitHub. Carte Alpha de RepoMasters. Langage : Jupyter Notebook.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [dlab-berkeley](https://repo.masters-masters.com/owners/dlab-berkeley) |
| Étoiles | 309 |
| Forks | 115 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2020 |
| Rang | [Alpha (250 à 699 ★)](https://repo.masters-masters.com/ranks/b_movie) |
| Voir sur GitHub | [dlab-berkeley/Computational-Social-Science-Training-Program](https://github.com/dlab-berkeley/Computational-Social-Science-Training-Program) |

## Fiche du dépôt

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 soci…

Rang des dépôts qui ont 250 à 699 ★ sur GitHub. Probabilité publiée par carte tirée : 20 %. Rareté : Peu commune.

## Autres dépôts de dlab-berkeley

- [dlab-berkeley/Machine-Learning-in-R · ★ 196 · CSS · Prototype](https://repo.masters-masters.com/repos/dlab-berkeley/Machine-Learning-in-R)
- [dlab-berkeley/Python-Fundamentals-Legacy · ★ 168 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/dlab-berkeley/Python-Fundamentals-Legacy)
- [dlab-berkeley/R-Fundamentals-Legacy · ★ 138 · R · Prototype](https://repo.masters-masters.com/repos/dlab-berkeley/R-Fundamentals-Legacy)
- [dlab-berkeley/Bash-Git · ★ 138 · Prototype](https://repo.masters-masters.com/repos/dlab-berkeley/Bash-Git)
- [dlab-berkeley/R-Deep-Learning · ★ 124 · R · Prototype](https://repo.masters-masters.com/repos/dlab-berkeley/R-Deep-Learning)
- [dlab-berkeley/Stata-Fundamentals · ★ 103 · Stata · Prototype](https://repo.masters-masters.com/repos/dlab-berkeley/Stata-Fundamentals)

## D’autres dépôts Jupyter Notebook

- [RasaHQ/rasalit · ★ 309 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/repos/RasaHQ/rasalit)
- [javifalces/HFTFramework · ★ 309 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/repos/javifalces/HFTFramework)
- [Kevin-free/chatgpt-prompt-engineering-for-developers · ★ 309 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/repos/Kevin-free/chatgpt-prompt-engineering-for-developers)
- [timnon/pyschedule · ★ 309 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/repos/timnon/pyschedule)
- [KGPML/Hyperspectral · ★ 309 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/repos/KGPML/Hyperspectral)
- [TingNie/Machine-learning-in-action · ★ 309 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/repos/TingNie/Machine-learning-in-action)

---
Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.