D-Lab

Repositories

• Computational-Social-Science-Training-Program
  Jupyter Notebook 2 17 4 1 Updated Oct 30, 2020

• sql-for-r-users

  SQL for R Users, Workshop

  shell r sql postgresql tidyverse
  HTML 2 10 2 0 Updated Oct 29, 2020

• Machine-Learning-with-tidymodels

  This is a remix of the Machine-Learning-in-R workshop. This version of the workshop focuses on the tidymodels framework and its applications.
  HTML 1 0 1 0 Updated Oct 26, 2020

• advanced-data-wrangling-in-R

  Advanced-data-wrangling-in-R, Workshop

  r dplyr tidyverse data-wrangling
  HTML 3 12 3 0 Updated Oct 23, 2020

• data-security-fundamentals

  Data Security Fundamentals
  0 2 10 (4 issues need help) 0 Updated Oct 22, 2020

• fairML

  Bias and Fairness in ML workshop
  Jupyter Notebook CC0-1.0 1 0 6 0 Updated Oct 16, 2020

• introduction-to-pandas

  Materials for the D-Lab's pandas workshop
  Jupyter Notebook 27 25 1 0 Updated Oct 14, 2020

• Deep-Learning-in-R

  Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization

  nlp deep-learning tensorflow keras biomedical cloudml
  R 26 77 3 1 Updated Oct 7, 2020

• R-Fundamentals

  12-hour intro to data science in R, no prior knowledge assumed

  r
  HTML 28 73 6 0 Updated Oct 5, 2020

• R-functional-programming

  The joy and power of functional programming in R

  automation r purrr functional-programing
  HTML 0 7 1 0 Updated Oct 3, 2020

• Machine-Learning-in-R

  Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

  machine-learning tutorial random-forest cluster superlearner lasso xgboost
  CSS 51 134 5 1 Updated Sep 26, 2020

• DIGHUM101-2020
  Jupyter Notebook 4 20 0 0 Updated Sep 26, 2020

• computational-text-analysis-spring-2019

  Computational text analysis for Spring 2019 by Caroline Le Pennec-Caldichoury
  HTML CC-BY-4.0 8 16 1 0 Updated Sep 25, 2020

• Geospatial-Fundamentals-in-QGIS
  1 4 0 0 Updated Sep 23, 2020

• BashGit

  D-Lab's 3 hour introduction to basic Bash commands and Git/GitHub.

  github git bash unix-shell
  Shell MIT 18 70 4 0 Updated Sep 11, 2020

• parallel-processing-in-R

  parallel-processing-in-R
  0 0 0 0 Updated Sep 4, 2020

• R-wrang

  Introduction to dplyr and tidyr packages for tidy data
  HTML 6 7 1 1 Updated Sep 4, 2020

• R-package-development

  R package development workshop

  package r reproducible-research open-source-project
  HTML 0 1 0 0 Updated Aug 31, 2020

• git-for-project-management

  Using Git and GitHub for Project Management
  0 0 0 0 Updated Aug 27, 2020

• efficient-reproducible-project-management-in-R

  Efficient and Reproducible Project Management in R

  reproducible-research
  HTML 0 1 1 0 Updated Aug 27, 2020

• Geospatial-Fundamentals-in-R-with-sf

  This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.

  r mapping geospatial spatial geographical-information-system
  HTML 6 26 0 1 Updated Aug 8, 2020

• stata-fundamentals

  For use in Stata workshops and intensives
  Stata 25 44 0 0 Updated Aug 5, 2020

• python-berkeley

  python resources of berkeley curated at a place
  Jupyter Notebook 43 38 1 0 Updated Jul 23, 2020

• awesome-dlab

  😎 Awesome lists about all kinds of topics and tools interesting to D-Labbers

  lists awesome resources awesome-list social-sciences ucberkeley
  1 8 0 0 Updated Jul 1, 2020

• Intro-Qualtrics
  0 3 0 0 Updated Jun 12, 2020

• Unsupervised-Learning-in-R

  Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

  clustering dimensionality-reduction unsupervised-learning umap hdbscan isolation-forests glrm
  R 7 26 0 0 Updated Jun 8, 2020

• visualization-with-python

  Materials for the D-Lab's visualization workshop
  Jupyter Notebook 20 19 0 0 Updated May 11, 2020

• Census-Data-in-R

  Workshop on fetching and mapping census data with tidycensus
  HTML MIT 4 5 1 0 Updated May 8, 2020

• python-fundamentals

  Introductory Python Series for UC Berkeley's D-Lab

  python
  Jupyter Notebook 62 89 5 0 Updated May 5, 2020

• quick-consulting-examples

  Collection of quick pandas, python, and other coding examples based on real consulting requests.
  Jupyter Notebook 0 1 0 0 Updated May 4, 2020