This project showcases how you can use fastpages to create a static dashboard that update regularly using Jupyter Notebooks. Using fastpages, data professionals can share dashboards (that are updated with new data automatically) without requiring any expertise in front end development. The content of this site shows statistics and reports regarding Covid-19.
github-pages data-science jupyter analytics nteract data-visualisation matplotlib pymc3 fastai altair papermill github-actions covid-19 covid19 covid-data fastpagesThis set of Notebooks and scripts comprise the pymc3_vs_pystan personal project by Jonathan Sedar of Applied AI Ltd, written primarily for presentation at the PyData London 2016 Conference. The project demonstrates hierarchical linear regression using two Bayesian inference frameworks: PyMC3 and PyStan. The project borrows heavily from code written for Applied AI Ltd and is supplied here for educational purposes only. No copyright or license is extended to users.
pymc3 pystan bayesian-inference bayesian-methods hierarchical-modelsNote that the code is in Jupyter Notebook format and requires modification to use with other datasets. Some of the general concepts from the book are discussed in papers by Kruschke & Liddell. See references below.
bayesian-data-analysis bayesian-inference pymc3 mcmc hierarchical-models kruschke probabilistic-programmingQ3. How much .... Warm, honey-sweetened, with strong lemon flavour.
statistics pymc3 survey conjoint-analysis
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