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- 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.
- 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.
Python-Deep-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.
Python-Text-Analysis
PublicData_4AC
PublicR-Fundamentals
PublicDSSJ-2025
Publicdlab-workshops
PublicCloud-SQL-Databases
Publicawesome-dlab
Public😎 Awesome lists about all kinds of topics and tools interesting to D-LabbersR-Causal-Inference
PublicPython-Web-APIs
PublicD-Lab-Workshop-Template
Public templateMAXQDA-Fundamentals
PublicPython-Fundamentals
PublicPython-GPT-Fundamentals
PublicD-Lab's 2-hour introduction to Generative Pretrained Transformers (GPT) for beginners. Learn about text encoding, word embeddings, and the transformer architecture upon which GPT is based. Create texts using a GPT model with the Transformers library in Python, and learn about hyperparameters such as temperature.