JuliaAI / DataScienceTutorials.jl

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)
https://juliaai.github.io/DataScienceTutorials.jl/
MIT License
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More comprehensive tag assignment #229

Open EssamWisam opened 2 months ago

EssamWisam commented 2 months ago

Here is a snapshot from _libs/nav/head.js which is responsible for routing data:

  {
    name: "Getting Started",
    id: "getting-started",
    href: "/info/getting-started",
    sections: [
      {
        name: "Choosing a model",
        href: "/getting-started/choosing-a-model/",
        tags: ["Classification", "Regression"],
      },
      {
        name: "Fit, predict, transform",
        href: "/getting-started/fit-and-predict/",
        tags: ["Classification", "Encoders"],
      },
      {
        name: "Model tuning",
        href: "/getting-started/model-tuning/",
        tags: ["Classification", "Hyperparameter Tuning"],
      },

As can be seen, each tutorial is mapped into one or more tags depending on its content. These tags are a superset of the main entries of the MLJ model browser and they will appear in the tutorials page of the MLJ website.

I went over all the tutorials to tag each but I didn't run my thinking algorithm until convergence for each tutorial; just a few iterations to fill some tags.

This issue is a simple reminder for me or someone else to revisit the file later and make it more comprehensive.

ablaom commented 2 months ago

Thanks @EssamWisam for this.