Which Cross Validation Method to Use in Machine Learning?

You want to train a machine learning model and you already know that you will need to use cross validation.

Great, now which of the many variations should you use?

In this tutorial we will answer this question and I’ll show you a fool proof way of selecting the right cross-validation methodology every time.

Table of Content
- Introduction: 0:00
- Trick to select the right cross-validation method: 0:40
- Lots of data use hold-out: 2:04
- Independent data point use kfold: 3:29
- Time dependent use timesplit : 6:03
- Group dependent use groupfold: 7:52
- Summary: 10:02

Some solid resources about cross validation:
📌 https://scikit-learn.org/stable/modul...
📌 https://machinelearningmastery.com/k-...

----
Join the newsletter for weekly AI content: https://yacinemahdid.com
Join the Discord for general discussion:   / discord  

----
Follow Me Online Here:

Twitter:   / yacineaxya  
GitHub: https://github.com/yacineMahdid
LinkedIn:   / yacinemahdid  
___

Have a great week! 👋