D-Lab
- 302 followers
- Social Sciences Building, Berkeley, CA
- http://dlab.berkeley.edu
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Repositories
- Computational-Social-Science-Training-Program Public
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.
dlab-berkeley/Computational-Social-Science-Training-Program’s past year of commit activity - LLMs-Exploratory-Research Public
D-Lab's 2-hour introduction to using LLMs for exploratory research.
dlab-berkeley/LLMs-Exploratory-Research’s past year of commit activity - GitHub-Fundamentals Public
D-Lab's 2 hour introduction to using the version control software Git with GitHub Desktop, a GUI Git client. Learn how to use version control, create repositories, branching, merging, and using GitHub Desktop to collaborate on software in your research workflows.
dlab-berkeley/GitHub-Fundamentals’s past year of commit activity - R-Census-Data Public
dlab-berkeley/R-Census-Data’s past year of commit activity - Python-Deep-Learning Public
D-Lab's 2-hour introduction to deep learning in Python. Learn how to create and train neural networks using Tensorflow and Keras.
dlab-berkeley/Python-Deep-Learning’s past year of commit activity - Python-Machine-Learning Public
D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.
dlab-berkeley/Python-Machine-Learning’s past year of commit activity - Python-Text-Analysis Public
D-Lab's introduction to text analysis with Python. Learn how to preprocess text data, apply bag-of-words methods, engage with word embeddings, and more, using Python.
dlab-berkeley/Python-Text-Analysis’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