This website is a collection of Python and R notebooks that forms a reference for variance data analysis, modelling and machine learning tasks.
The site is an addendum to my blog.
Topics are arranged via the menu at the top of the page. The aim is to have a number of implementations of each topic across language / framework.
Some content is constructed using Jupyter noteboooks. This requires
conversion to html using the nbconvert utility shown
below.
Example conversion, ipynb to html:
jupyter nbconvert --to html numpyro_models.ipynb
This command will produce a html file called
numpyro_models.html. This file is then copied to the base
folder of the site repository before rendering.