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name: "homl"
output_dir: "docs"
exclude: [""]
navbar:
  title: "HOML"
  left:
    - icon: fa-home fa-lg
      href: index.html
    - text: Supplementary material
      menu:
      - text: "Fundamentals:"
      - text: Introduction to machine learning
        href: https://koalaverse.github.io/homlr/notebooks/01-introduction.nb.html
      - text: Modeling process
        href: https://koalaverse.github.io/homlr/notebooks/02-modeling-process.nb.html
      - text: Feature & target engineering
        href: https://koalaverse.github.io/homlr/notebooks/03-feature-engineering.nb.html
      - text: --------
      - text: "Supervised learning:"
      - text: Linear regression
        href: https://koalaverse.github.io/homlr/notebooks/04-linear-regression.nb.html
      - text: Logistic regression
        href: https://koalaverse.github.io/homlr/notebooks/05-logistic-regression.nb.html
      - text: Regularized regression
        href: https://koalaverse.github.io/homlr/notebooks/06-regularized-regression.nb.html
      - text: Multivariate adaptive regression splines (MARS)
        href: https://koalaverse.github.io/homlr/notebooks/07-mars.nb.html
      - text: K-nearest neighbors
        href: https://koalaverse.github.io/homlr/notebooks/08-knn.nb.html
      - text: Decision trees
        href: https://koalaverse.github.io/homlr/notebooks/09-decision-trees.nb.html
      - text: Bagging
        href: https://koalaverse.github.io/homlr/notebooks/10-bagging.nb.html
      - text: Random forests
        href: https://koalaverse.github.io/homlr/notebooks/11-random-forests.nb.html
      - text: Gradient boosting
        href: https://koalaverse.github.io/homlr/notebooks/12-gbm.nb.html
      - text: Deep learning
        href: https://koalaverse.github.io/homlr/notebooks/13-deep-learning.nb.html
      - text: Support vector machines
        href: https://koalaverse.github.io/homlr/notebooks/14-svm.nb.html
      - text: Stacked models
        href: https://koalaverse.github.io/homlr/notebooks/15-stacking-models.nb.html
      - text: Interpretable machine learning
        href: https://koalaverse.github.io/homlr/notebooks/16-iml.nb.html
      - text: --------
      - text: "Dimension reduction:"
      - text: Princicpal component analysis
        href: https://koalaverse.github.io/homlr/notebooks/17-pca.nb.html
      - text: Generalized low rank models
        href: https://koalaverse.github.io/homlr/notebooks/18-glrm.nb.html
      - text: Autoencoders
        href: https://koalaverse.github.io/homlr/notebooks/19-autoencoders.nb.html
      - text: --------
      - text: "Clustering:"
      - text: K-means clustering
        href: https://koalaverse.github.io/homlr/notebooks/20-kmeans.nb.html
      - text: Hierarchical clustering
        href: https://koalaverse.github.io/homlr/notebooks/21-hierarchical-clustering.nb.html
      - text: Model-based clustering
        href: https://koalaverse.github.io/homlr/notebooks/22-model-based-clustering.nb.html
    - text: Exercises
      menu:
      - text: "Fundamentals:"
      - text: Introduction to Machine Learning
        href: https://koalaverse.github.io/homlr/exercises/01-exercises.nb.html
      - text: Modeling process
        href: https://koalaverse.github.io/homlr/exercises/02-exercises.nb.html
      - text: Feature & target engineering
      - text: --------
      - text: "Supervised learning:"
      - text: Linear regression
      - text: Logistic regression
      - text: Regularized regression
      - text: Multivariate adaptive regression splines (MARS)
      - text: K-nearest neighbors
      - text: Decision trees
      - text: Bagging
      - text: Random forests
      - text: Gradient boosting
      - text: Deep learning
      - text: Support vector machines
      - text: Stacked models
      - text: Interpretable machine learning
      - text: --------
      - text: "Dimension reduction:"
      - text: Princicpal component analysis
      - text: --------
      - text: "Clustering:"
      - text: K-means clustering
    - text: Data sets
      menu:
      - text: Ames housing
        href: https://koalaverse.github.io/hands-on-machine-learning-with-r/data/ames.csv
      - text: Job attrition
        href: https://koalaverse.github.io/hands-on-machine-learning-with-r/data/attrition.csv
      - text: MNIST
      - text: My basket
        href: https://koalaverse.github.io/hands-on-machine-learning-with-r/data/my_basket.csv
    - text: Miscellaneous
      menu:
      - text: Errata
        href: errata.html
    - text: Additional resources
      menu:
      - text: Analytics summit '19
        href: https://github.com/koalaverse/AnalyticsSummit19
      - text: Machine Learning Day '18
        href: https://github.com/bgreenwell/MLDay18
      - text: Introduction to Machine Learning in R '18
        href: https://github.com/bgreenwell/intro-ml-r
      - text: Advanced Analytics with R '18
        href: https://github.com/uc-r/Advanced-R
      - text: Random Forests with R '18
        href: https://github.com/bradleyboehmke/random-forest-training
      - text: Interpretable Machine Learning '18
        href: https://github.com/bradleyboehmke/CinDay-RUG-IML-2018
    - icon: fa-book fa-lg
      href: http://bit.ly/HOML_with_R
    - icon: fa-amazon fa-lg
      href: https://www.amazon.com/Hands-Machine-Learning-Chapman-Hall/dp/1138495689/ref=sr_1_3?keywords=hands+on+machine+learning+with+r&qid=1573598828&sr=8-3
    - icon: fa-github fa-lg
      href: https://github.com/koalaverse/homlr
        
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