* Add NBs for ODSC East

* Update README.md

Thanks @ericmjl @hugobowne

Edits made using the following bash commands
`find . -name "*.ipynb" -exec sed -i '' s/wondereful/wonderful/g {} +`
`find . -name "*.ipynb" -exec sed -i '' s/probabilty/probability/g {} +`
`find . -name "*.ipynb" -exec sed -i '' s/sensitivy/sensitivity/g {} +`
`find . -name "*.ipynb" -exec sed -i "" s/'of of'/'is of'/g {} +`
`find . -name "*.ipynb" -exec sed -i "" s/'is know as'/'is known as'/g {} +`

* added ipython kernelspec command

* Update README.md

* Update README.md

* Update README.md

* Update README.md

Co-authored-by: Eric Ma <[email protected]>

* First commit of dev container and mkdocs

* Referenced correct env file

* Moving to SSH remote

* Add pre-commit hooks

* Updated gitignore

* Starting the docs

* Added config for black inside pyproject.toml

* Update environment file

* WIP working on explaining basic probability distributions

* Add networkx for PGM visualization

* Starting section on PGMs.

* Start of day commit to save state of previous changes

* Continued on to likelihoods

* Continued writing about likelihoods

* Progress made to spaces of models and data

* Nearly at the end for introduction piece!

* Almost done with simulation nb

* Updated notebooks on the basics of probability and simulation

* started notebook on inference

* More on the fundamentals of probability

* Finished probability notebook

* Finished up main prose of basic inference notebook

* Add starter solutions for Inference notebooks

Still left todo:

- Place in better prompts
- Refactor solutions out into solutions library

* Massive commit adding new content

- Estimation notebook is done
- First pass at hierarchical model is done
- Updated TOC
- Ice cream shop data is ready :)

* Adding further prose to hierarchical notebook

Probably snuck in some other changes that I can't remember.

* More updates

- Shrinkage section
- Funnel preview

* Updated hierarchical notebook prose

* Ignoring auto-generated ice cream shop trace file

* Moved model out of notebook into custom source

* Added notebooks on reparametrization

* Started notebooks on sampling

* Updating reparametrization, sampling and adding diagnostics

* Restored execution of notebooks

* Guaranteed execution of notebooks

* Added notebook on dirichlet processes (DP)

- CRP (Chinese Restaurant Process)
- Stick-breaking process
- Generation of Gaussian Mixtures from a DP

* Add NBs for SciPy 2022

* Add data SciPy 2022

* Add new env

* Add images

* Edit NB 2

* Delete final_notebook.ipynb