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A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)

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I find the landing page for Data Science Tutorials extremely busy. The current organization around the four basic categories in the right hand menu ("Data Basics", "Getting Started", and so...

## tutorials * [x] remove explicit import for auc etc #21 * [ ] add tutorial for StaticTransformer/FeatureSelector #24 * [ ] add bootstrapping to ISL5 #22 * [ ]...

todo list

This includes a demonstration of wrapping a model in `IteratedModel` which would be new here.

concrete tutorial proposal

Can reproduce / take inspiration from [this repo](https://github.com/rupakc/UCI-Data-Analysis) which does a similar thing with Scikitlearn * [x] wine dataset * [x] horse colic (has missings) [here](https://archive.ics.uci.edu/ml/datasets/Horse+Colic) * [ ] abalone...

content

https://alan-turing-institute.github.io/DataScienceTutorials.jl/end-to-end/HouseKingCounty/ cc @vollmersj

tutorial improvement

This post: https://discourse.julialang.org/t/custom-xgboost-loss-function-w-zygote-julia-computing-blog-post/35811/13?u=tlienart by @azev77

![Screen Shot 2020-07-21 at 4 21 40 PM](https://user-images.githubusercontent.com/30517088/88012564-5c15e000-cb6e-11ea-8c40-b269ff6b7be6.png) The comment there does not seem to apply (since I don't know when). Perhaps the parameter could be reset to an optimal...

A new tutorial showcasing MLJ by C. Cruz