meta.json

{
    "courseId": "tree-based-models-in-r",
    "title": "Machine learning with tree-based models in R",
    "slogan": "A Free, Interactive Course about Tree-Based Models in R",
    "description": "<p>This is a free, open source course on machine learning with tree-based models in R.  The course content was created by <a href='https://github.com/ledell'>Erin LeDell</a> (code exercises, scripts), with contributions by <a href='https://k-roz.com'>Gabriela de Queiroz</a> (slides). <a href='https://ines.io/'>Ines Montani</a> designed the web framework that runs this course, and <a href='https://florencia.netlify.com/'>Florencia D'Andrea</a> built the course website.  The course logo was created using the <a href='https://github.com/djnavarro/flametree'>flametree</a> package by <a href='https://djnavarro.net/'>Danielle Navarro</a>.</p><p>Contributions and comments on how to improve this course are welcome! Please <a href='https://github.com/open-data-courses/tree-based-models-in-r/issues'>file an issue</a> or submit a pull request if you find something that could be fixed or improved.</p>",
    "bio": "<p>Hello!  I'm Dr. Erin LeDell, Chief Machine Learning Scientist at <a href='https://www.h2o.ai/'>H2O.ai</a> and I love teaching data science!  I am an author of several R packages, including the <a href='https://cran.r-project.org/web/packages/h2o/index.html'>h2o</a> package for machine learning. I am also the founder of the <a href='https://wimlds.org'>Women in Machine Learning & Data Science</a> (WiMLDS) organization and co-founder of the <a href='https://www.rladies.org'>R-Ladies Global</a> organization.</p><p><a rel='license' href='http://creativecommons.org/licenses/by/4.0'><img alt='Creative Commons License' src='https://i.creativecommons.org/l/by/4.0/88x31.png'/></a></p>",
    "siteUrl": "https://online-trees.netlify.com/",
    "twitter": "ledell",
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    "testTemplate": "success <- function(text) {\n    cat(paste(\"\\033[32m\", text, \"\\033[0m\", sep = \"\"))\n}\n\n.solution <- \"${solutionEscaped}\"\n\n${solution}\n\n${test}\ntryCatch({\n    test()\n}, error = function(e) {\n    cat(paste(\"\\033[31m\", e[1], \"\\033[0m\", sep = \"\"))\n})",
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        "lang": "r",
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    "showProfileImage": true,
    "footerLinks": [
        { "text": "Follow Me on Twitter", "url": "https://twitter.com/ledell" },
        { "text": "My GitHub Profile Page", "url": "https://github.com/ledell" },        
        { "text": "Source Code on GitHub", "url": "https://github.com/open-data-courses/tree-based-models-in-r"},
        { "text": "Built with ♥ and Open Source", "url": "https://github.com/ines/course-starter-r" }
    ],
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}