https://github.com/betatim/tree-growing-one-day

:deciduous_tree: A one day course on machine-learning with trees
https://github.com/betatim/tree-growing-one-day

Last synced: 8 months ago
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:deciduous_tree: A one day course on machine-learning with trees

• Host: GitHub
• URL: https://github.com/betatim/tree-growing-one-day
• Owner: betatim
• License: other
• Created: 2016-04-06T06:43:19.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2016-04-06T06:57:24.000Z (over 9 years ago)
• Last Synced: 2025-02-08T07:12:28.894Z (10 months ago)
• Homepage:
• Size: 1.95 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
# Machine-learning with trees

A one day course on machine-learning for beginners. Examples and practical

sections will us tree based models. However the model selection and

evaluation techniques apply equally to other types of models.

# Outline

* Introduction to decision trees

  - A single decision tree

  - forests, a simple and robust supervised models

    + "Kaggle challenges: if in doubt use xgboost" - _attribution_

  - classification

  - (regression)

  - "scoring" your model, is it better than guessing?

* Model selection

  - hyper-parameters?!

  - model complexity

  - how to choose hyper-parameters

* Model evaluation

  - how to evaluate your model

  - what to include in your cross-validation loop

  - unbiased estimates

* Model introspection

  - learn about your model