Feature/docs

[Jammy2211]

Documentation on building a scientific workflow.

[codecov]

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+ Coverage   80.75%   80.77%   +0.01%     
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  Files         198      198              
  Lines       14979    14983       +4     
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+ Hits        12096    12102       +6     
+ Misses       2883     2881       -2     

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[VascoSch92]

Suggested change

	Graphical models concisely describe these model and dataset dependencies and allow for
	them to be fitted simultaneously, with a concise API and scientific workflow that ensures scalability to big datasets.
	Graphical models concisely describe these model and dataset dependencies, allowing them to be fitted simultaneously. This is achieved through a concise API and scientific workflow that ensures scalability to large datasets.

[VascoSch92]

Suggested change

	Anfull description of using hierarchical models is given below:
	A full description of using hierarchical models is given below:

[VascoSch92]

Suggested change

	Hierarchical models are where multiple parameters in the model are assumed to be drawn from a common distributio.
	Hierarchical models are where multiple parameters in the model are assumed to be drawn from a common distribution.

[VascoSch92]

Suggested change

	The parameters of this parent distribution are themselves inferred from the data, which for many problems enables
	more robust and informative model fitting.
	The parameters of this parent distribution are themselves inferred from the data, , enabling more robust and informative model fitting for many problems.

[VascoSch92]

Suggested change

	A classic method to perform model-fitting is a grid search, where the parameters of a model are divided on to a grid of
	A classic method to perform model-fitting is a grid search, where the parameters of a model are divided onto a grid of

[Jammy2211]

Thanks for all the suggestions! Implemented :)