fonnesbeck / enar_2019_tutorialLinks
A Primer on Python for Statistical Programming and Data Science
☆26Updated 6 years ago
Alternatives and similar repositories for enar_2019_tutorial
Users that are interested in enar_2019_tutorial are comparing it to the libraries listed below
Sorting:
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Reproducible & Collaborative Data Science, Fall 2017 - Main class website☆23Updated 7 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data☆23Updated 6 years ago
- spatial statistical/econometric modeling in pymc3 & stan☆26Updated 4 years ago
- ☆16Updated 12 years ago
- Repository containing notebooks for my Pandas tutorial at SciPy India 2013☆15Updated 6 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆21Updated 8 years ago
- Educational resources☆104Updated 3 years ago
- ☆73Updated 7 years ago
- Introductory overview of Bayesian inference☆43Updated 6 years ago
- Lecture notes for an introductory undergraduate course in Bayesian Inference☆52Updated last week
- Reinhart Rogoff replication files: Python stats with IPython notebook☆28Updated 2 years ago
- Material for the PyLadies Bayesian Tutorial, Feb 11, 2020☆12Updated 2 years ago
- Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX☆15Updated 8 years ago
- Source repository for third edition of "Resampling: The New Statistics"☆14Updated 6 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆25Updated this week
- Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"☆19Updated 8 years ago
- ☆48Updated 7 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated 2 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- ☆16Updated 6 years ago
- Materials used in class when teaching Data Bootcamp at NYU Stern.☆26Updated 7 years ago
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆26Updated 3 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 10 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- Review of time series using regression and neural network methods☆33Updated 6 years ago
- Repository for a workshop on Complexity Science☆39Updated 4 years ago
- SciPy Conference Materials☆47Updated 2 weeks ago
- ☆32Updated 8 years ago