Precompute notebook with PlutoSliderServer

[sethaxen]

This PR is an attempt at using JuliaPluto/PlutoSliderServer.jl#29 to prebuild the notebook using PlutoSliderServer, which should allow users to interact with the notebook without them or us needing a Pluto session.

[sethaxen]

This almost completely works! https://mlcolab.github.io/IntroML.jl/previews/PR5/supervised_learning.html

Two remaining issues I'm seeing:

• PlutoSliderServer still fails to precompute the group for the $g(x)$ multiselect here), even though we're using the solutions recommended in Precompute all possible slider states JuliaPluto/PlutoSliderServer.jl#29 (comment) and in Fix Bonds.possible_values(::MultiSelect) JuliaPluto/PlutoUI.jl#260. See the log message at https://github.com/mlcolab/IntroML.jl/actions/runs/5268763176/jobs/9525936481?pr=5#step:6:290.
• The first and last values of some of the scrubbables seems to be dropped. i.e. we can scrub to the final value (e.g. $w_0=-2$ here, but that is not reflected in the plot. When the plot is dependent on 2 scrubbables (e.g. $w$ here), if we scrub one to the end and then scrub the other, the plot does not update.
  Screencast from 06-14-2023 06:57:09 PM.webm

[sethaxen]

Since the mostly-working precomputed version is strictly better than the completely static version, I'll merge this even with the current issues. A warning has been added to the top that if any interactive elements aren't working correctly, the notebook should be properly run.