Data-on-the-Mind / 2017-summer-workshopLinks
Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)
☆35Updated 6 years ago
Alternatives and similar repositories for 2017-summer-workshop
Users that are interested in 2017-summer-workshop are comparing it to the libraries listed below
Sorting:
- ☆28Updated 6 years ago
 - D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python☆66Updated 6 years ago
 - Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆30Updated 9 years ago
 - Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
 - Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆56Updated 6 years ago
 - A compendium of the pitfalls and problems that arise when using standard statistical methods☆247Updated 11 years ago
 - Text Analysis Workshops for UC Berkeley's D-Lab☆27Updated 8 years ago
 - Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago☆79Updated 3 years ago
 - Notes on generalized linear models☆109Updated 7 years ago
 - Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab☆73Updated 8 years ago
 - Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 9 years ago
 - An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 7 months ago
 - Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018☆20Updated 7 years ago
 - R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 3 years ago
 - Library of Stan Models for Survival Analysis☆124Updated 5 years ago
 - Variable importance through targeted causal inference, with Alan Hubbard☆59Updated last month
 - Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
 - An interactive online reading of McElreath's Statistical Rethinking☆124Updated 7 years ago
 - exploratory data analysis using random forests☆68Updated 7 years ago
 - Lecture Slides for Introduction to Data Science☆26Updated 2 years ago
 - This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.☆30Updated 8 years ago
 - Course materials for Stat 133, fall 2017, at UC Berkeley☆40Updated 7 years ago
 - Stan website built using Quarto, theming in repo quarto-config☆23Updated 2 weeks ago
 - Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 years ago
 - 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆66Updated 5 years ago
 - This repository contains the code powering Exploring Histograms, an interactive essay by Aran Lunzer and Amelia McNamara.☆53Updated 2 years ago
 - ☆24Updated 5 years ago
 - Course materials for Sta 101 - Spring 2016 semester at Duke University☆38Updated 9 years ago
 - Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html☆83Updated 9 years ago
 - fabricatr: Imagine Your Data Before You Collect It☆92Updated 8 months ago