fonnesbeck / Bios8366
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
☆541Updated 2 years ago
Alternatives and similar repositories for Bios8366:
Users that are interested in Bios8366 are comparing it to the libraries listed below
- Tutorial: Bayesian Statistical Analysis in Python☆318Updated 5 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆679Updated 3 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆900Updated 3 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆224Updated 4 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆351Updated 4 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆850Updated 4 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆379Updated 9 years ago
- my blog☆266Updated 2 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆149Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Using Project Jupyter for data science.☆259Updated 4 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆558Updated last year
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Jupyter Notebooks derived from Allen Downey's book Think Bayes.☆395Updated 9 years ago
- Bayesian Data Analysis demos for Python☆1,009Updated last year
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆274Updated 8 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆323Updated last year
- Scikit-learn tutorial at SciPy2016☆516Updated 6 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆290Updated 11 years ago
- Statistical Data Analysis in Python☆1,605Updated 9 years ago
- Scikit-learn tutorials for the Scipy 2013 conference☆325Updated 7 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago
- Machine Learning Problem Bible | Problem Set Here >>☆714Updated 5 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆128Updated 8 years ago
- useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html☆401Updated 7 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 8 years ago
- PyData, The Complete Works of☆299Updated 8 years ago
- Introduction to Statistics using Python☆906Updated 4 years ago