Thibaut Lienart

As kindly indicated on another issue, there's https://github.com/QuantEcon/InstantiateFromURL.jl which helps to instantiate an environment easily, this could help new users greatly.

``` # -------------------------------------------------------------------------- # The script below will eventually go in the tutorials, it generates points # using standard keywords and plots them. It was also used to eyball the...

Otherwise this will quickly become unmanageable. Possibly only do the full batch upon "release". Also some tutorials that are sufficiently integrated could be "always on".

``` ┌ Warning: `by(d::AbstractDataFrame, cols::Any, f::Pair{ (fun => out_col) for (out_col, (in_col, fun)) = f]...)` instead. │ caller = ip:0x0 └ @ Core :-1 → evaluating code [...] (data/dataframe.md) ┌...

Add this kaggle attempt to external resources

3

https://github.com/stefanjwojcik/mm2020/issues/1

> As a present, I did the following Jupyter lab showcasing MLJ: https://notes.quantecon.org/submission/5e653f616479ca001038be0f context: https://github.com/alan-turing-institute/MLJ.jl/issues/527

Add tutorial for StaticTransformer

5

one example given on slack would be recoding: `x -> replace(uppercase(x), " "=>"")`

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