berkeley-stat159-f17 / stat159-f17Links
Reproducible & Collaborative Data Science, Fall 2017 - Main class website
☆23Updated 7 years ago
Alternatives and similar repositories for stat159-f17
Users that are interested in stat159-f17 are comparing it to the libraries listed below
Sorting:
- A jekyll-based textbook made with Jupyter Notebooks☆15Updated 5 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Artificial Neural Network basics☆14Updated 8 years ago
- Conventionally parameterized probability distributions☆35Updated last year
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆21Updated 8 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- ☆26Updated 9 years ago
- Managing small to medium-sized research software projects.☆37Updated 3 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 9 years ago
- Lecture notes for an introductory undergraduate course in Bayesian Inference☆52Updated last month
- Stan website built using Quarto, theming in repo quarto-config☆23Updated last month
- Minimal working example for a binder with both R and Python Jupyter and RMarkdown notebooks☆31Updated 6 years ago
- IPython/Jupyter notebook <--> RMarkdown converter☆66Updated 7 years ago
- pybroom, the python's broom to tidy up messy fit results!☆14Updated 8 years ago
- Short programming tutorials pertaining to data analysis.☆15Updated 8 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 7 months ago
- Central repository for my distributions figures☆16Updated 6 years ago
- ☆31Updated 9 years ago
- Some guidelines on how to give a lightning talk☆43Updated 2 years ago
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- Dominance Analysis (Azen and Bodescu), for multiple regression models: OLS (univariate, multivariate), beta regression, Dynamic Linear Mo…☆26Updated last month
- A simple LaTeX academic CV template☆39Updated 9 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆30Updated 9 years ago
- ☆18Updated 11 years ago
- Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab☆73Updated 8 years ago
- Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018☆20Updated 7 years ago
- Non-parametric Bayesian Inference for Conservation Decisions☆46Updated 5 years ago
- spatial statistical/econometric modeling in pymc3 & stan☆26Updated 4 years ago
- Notes and code for the workshop "Rule-Based Models for Regression and Classification”☆12Updated 9 years ago