https://github.com/filippomb/cross-validation-tutorial
Introduction to cross-valdation in Machine Learning, with coding examples for supervised classification.
https://github.com/filippomb/cross-validation-tutorial
cross-validation k-fold-cross-validation leave-one-out-cross-validation model-selection stratified-cross-validation supervised-learning
Last synced: 7 months ago
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Introduction to cross-valdation in Machine Learning, with coding examples for supervised classification.
- Host: GitHub
- URL: https://github.com/filippomb/cross-validation-tutorial
- Owner: FilippoMB
- License: mit
- Created: 2025-04-21T14:17:27.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-01T17:19:06.000Z (about 1 year ago)
- Last Synced: 2025-05-01T17:48:38.855Z (about 1 year ago)
- Topics: cross-validation, k-fold-cross-validation, leave-one-out-cross-validation, model-selection, stratified-cross-validation, supervised-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 1.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Tutorial: Cross-validation in Machine Learning
This tutorial gives an introduction to the concept of cross-validation (CV) in Machine Learning.
The Jupyter Notebook provides some practical and coding examples of how to use some basic CV techniques in a supervised classification setting.
💻 Notebook:
[](https://nbviewer.org/github/FilippoMB/cross-validation-tutorial/blob/main/tutorial.ipynb) or [](https://colab.research.google.com/github/FilippoMB/cross-validation-tutorial/blob/main/tutorial.ipynb)
## 📚 References
- [Scikit-learn](https://scikit-learn.org/stable/modules/cross_validation.html)
- [Wikipedia](https://en.wikipedia.org/wiki/Cross-validation_(statistics))