Name Notebooks Description
880c4ea34fbd965b2c3dc34d17ad5446 Introduction to Jupyter Notebooks.ipynb
4d13b2379dd2d390aaa3c7d2d1429a94 Articulation.ipynb
2a5007e1725f7efb0d9faf317dc205de Key Question 3 Meta-analysis.ipynb
e74620c7ff15232e2ca7a726ed082053 Bleeding MA.ipynb
09d12cd7df09eae63175 Untitled.ipynb
47fb5f99767ce728e7da pymc3_uniform.ipynb
cd6bb375f1ef3e7fec34 AGE Rates.ipynb
3919968669ecd852f87f Simple GP.ipynb
74eff2acb29f4358984a Davidson county population.ipynb
f2da55c0e2f6d8f35a25 Simple GP.ipynb
25c6e992985d0b79d869 Normal Test.ipynb
81e9ad44765e9270c28a Non-Spatial Measles Model.ipynb
ea8bae8b6686c213920a UF Interventions Meta-analysis (PyMC 2).ipynb
1f92954c24d217083d7d Non-Spatial Measles Model (PyMC 3).ipynb
4bd7cbaa74fa62ceb6dc UF Interventions Meta-analysis.ipynb
757b5bc7d60a0d660829 Non-Spatial Measles Model.ipynb
89af4600104fa5acb403 TensorFlow Tutorial.ipynb
294a89309231816eeb6e Dataset Statistics.ipynb
19aaadb56f3ada8531d7 bayesnet.ipynb
670e777406a2f2bfb67e Norovirus prediction.ipynb
2a3cbb033dda1c54b5df Simple Measles Model (Matrix beta).ipynb
102830057075818bec2b Untitled.ipynb
08a28c8d80c45da63371 Homework 2 solution.ipynb
e1fa2133129c0e7311ce GBS rate differences.ipynb
f102691069ea9069c3c9 Simple Measles Model (PyMC 2).ipynb
57c9901728b791cce46f Simple Measles Model-theirs.ipynb