DataScienceTutorials.jl
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JuliaAI
A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)
https://github.com/alan-turing-institute/MLJBase.jl/blob/803dfd648c6575bb325c6db8287426076110c29b/test/datasets_synthetic.jl#L111-L166 Once MLJBase does a patch release (see https://github.com/alan-turing-institute/MLJBase.jl/pull/155)
see https://discourse.julialang.org/t/ann-mybinder-org-support-for-julia-1-x-and-project-toml/22522/20
Check this: https://github.com/alan-turing-institute/MLJ.jl/tree/master/examples/composite_example and possibly add bits of it
@ablaom it would be nice to have a quick example of something that can't be done with a pipeline; I was thinking something like L1 : standardizer and boxcox L2...
It's an alternative route but which may be nice when for instance the first bit of the pipeline is fixed and we just want to change a classifier or something....
Could be nice to add a more advanced section where we discuss more specifically some of the things that can be done with MLJ that might not be straightforward otherwise...
Could add to lab 5 following the nice input https://github.com/alan-turing-institute/MLJTutorials/issues/17#issuecomment-558881698
In a previous PR I mentioned that it's not elegant that one has to add a new tutorial to two navigation bars (and modify code instead of data in general)....
Any changes required to make them do will be made in this PR.
In this PR, tutorials will be updated to satisfy the following two conditions: - Run flawlessly on Julia 1.10 with the most recent package version - Make plots only using...