jsharpna / DavisSMLLinks
☆78Updated last year
Alternatives and similar repositories for DavisSML
Users that are interested in DavisSML are comparing it to the libraries listed below
Sorting:
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆129Updated 5 years ago
- Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning…☆185Updated last year
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆687Updated 4 years ago
- Bayesian Data Analysis demos for R☆583Updated 3 weeks ago
- Statistical Rethinking course in pymc3☆143Updated 5 years ago
- Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science☆78Updated last week
- Machine learning course materials.☆575Updated last year
- Bayesian Data Analysis demos for Python☆1,024Updated 2 weeks ago
- Slides and R codes for Functional Data Analysis Course☆96Updated 6 years ago
- ☆240Updated 7 years ago
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆81Updated 6 years ago
- Bayesian Data Analysis course at Aalto☆2,232Updated this week
- Extended state-space SIR epidemiological models☆75Updated 3 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆87Updated 2 years ago
- Materials for the August 2019 R bootcamp at UC Berkeley. See below (under the listing of files) for information about the bootcamp, inclu…☆22Updated 5 years ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- ☆205Updated last year
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆901Updated 4 years ago
- ☆92Updated 9 months ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆172Updated 10 months ago
- Python code for Computer Age Statistical Inference☆52Updated 6 years ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,322Updated 3 years ago
- Working repository for Causal Tree and extensions☆447Updated 5 months ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆670Updated 3 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- A repository for working through the Bayesian statistics book "Statistical Rethinking" by Richard McElreath.☆135Updated 5 years ago
- Stan models for state space time series☆146Updated 8 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 4 years ago
- Machine Learning from the perspective of a Statistician using R☆16Updated 4 years ago