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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

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Introduction to cross-valdation in Machine Learning, with coding examples for supervised classification.

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# 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:
[![nbviewer](https://img.shields.io/badge/-View-blue?logo=jupyter&style=flat&labelColor=gray)](https://nbviewer.org/github/FilippoMB/cross-validation-tutorial/blob/main/tutorial.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](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))