_site.yml 3.28 KB
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name: "ML"
output_dir: "_site"
exclude: ["README.md", "build.sh", "_site.yml", "*.Rmd"]
output:
  html_document:
    theme: united
    highlight: default
    number_sections: true
    toc: true
    toc_depth: 3
    toc_float:
      collapsed: false
      smooth_scroll: false
    includes:
      in_header: config/MathJax.html
      before_body: config/header.html
      after_body: config/footer.html
    css: config/style-site.css
navbar:
  left:
    - icon: fa-home
      href: index.html
    - icon: fa-television
      text: "Material"
      menu:
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      - text: "Introdução ao R"
        href: tutorials/00-intro-R.html
      - text: "Operações com objetos"
        href: tutorials/00-objects.html
      - text: "Visualização básica com R"
        href: tutorials/00-vis-graphics.html
      - text: "Visualização com a lattice"
        href: tutorials/00-vis-lattice.html
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      - text: "Manipulação e visualização"
        href: tutorials/00-datatable-ggplot2.html
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      - text: "Validação cruzada"
        href: tutorials/01-cross-validation.html
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      - text: "Gradiente descendente"
        href: tutorials/02-gradient-methods.html
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      - text: "Seleção de variáveis e regularização"
        href: tutorials/03-regularization-1.html
      - text: "Regularização e implementação"
        href: tutorials/03-regularization-2.html
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      - text: "Métodos de árvores"
        href: tutorials/04-regression-trees.html
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      - text: "Máquina de vetores de suporte"
        href: tutorials/05-support-vector-machine.html
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      - text: "k vizinhos mais próximos"
        href: tutorials/06-k-nearest-neighborhood.html
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      - text: "Bayes ingênuo"
        href: tutorials/07-naive-bayes.html
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      - text: "Regressão logística e multinomial"
        href: tutorials/08-logistic-regression.html
      - text: "Análise discriminante"
        href: tutorials/09-linear-discriminant-analysis.html
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      - text: "Análise de agrupamento"
        href: tutorials/10-clustering.html
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    - text: "Scripts"
      icon: fa-file-text
      href: scripts/
    - text: "Datasets"
      icon: fa-table
      href: datasets/
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    - text: "Downloads"
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      icon: fa-download
      menu:
      - text: "Cartão de referência para Data Mining com R"
        href: https://cran.r-project.org/doc/contrib/YanchangZhao-refcard-data-mining.pdf
      - text: "Cartão de referência do pacote caret"
        href: https://github.com/rstudio/cheatsheets/raw/master/caret.pdf
      - text: "The caret package (livro online)"
        href: http://topepo.github.io/caret/index.html
      - text: "Algorítmos e tarefas em ML no R"
        href: https://github.com/rstudio/cheatsheets/raw/master/Machine%20Learning%20Modelling%20in%20R.pdf
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      - text: "Repositório de dados para ML"
        href: https://archive.ics.uci.edu/ml/
      - text: "Slides do Max Kuhn sobre o caret (2014)"
        href: https://pdfs.semanticscholar.org/presentation/3f1f/3e041c26b836ba511ce513afd75c84d3df8a.pdf
      - text: "Slides do Max Kuhn sobre o caret (useR! 2013)"
        href: https://www.r-project.org/conferences/useR-2013/Tutorials/kuhn/user_caret_2up.pdf
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  right:
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    - icon: fa-user
      href: https://www.researchgate.net/profile/Walmes_Zeviani2
    - text: GitLab
      icon: fa-gitlab fa-lg
      href: https://gitlab.c3sl.ufpr.br/walmes/machine-learning