1. Machine Learning In R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
2. Python Fundamentals
Introductory Python Series for UC Berkeley's D-Lab
3. Git Fundamentals
A starting point for discovering the wonderful world of Git, GitHub, and Git Annex (Assistant)
5. Unsupervised-Learning-in-R
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
6. Python-Data-Wrangling
D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.
7. Computational-Social-Science-Training-Program
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.
8. Python-Machine-Learning-Fundamentals
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 and TPOT.
10. advanced-data-wrangling-in-R-legacy
Advanced-data-wrangling-in-R, Workshop
12. R-Geospatial-Fundamentals
This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.
13. Python-Data-Visualization
D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.
14. python-data-from-web
API and web scraping workshops
15. R-Machine-Learning
D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
16. python-for-everything
Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab
18. R-Data-Visualization
D-Lab's 3 hour introduction to data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more using ggplot2 and cowplot.
19. Bash-Git
D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.
1-20 of 20 user projects