Four Types Of Cross Validation| K-Fold | Leave One Out |Bootstrap | Hold Out

In this video you will learn about the different types of cross validation you can use to validate you statistical model. Cross validation is an important step in model building which ensures you have a model that will perform well in the new data , which also overcomes the possibility model being over fit.

There are four types of cross validation you will learn

1- Hold out Method
2- K-Fold CV
3- Leave one out CV
4-Bootstrap Methods

for more learn here : https://www.cs.cmu.edu/~schneide/tut5/node42.html

Cross validation is also important step in machine learning model building and data science model building.
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Видео Four Types Of Cross Validation| K-Fold | Leave One Out |Bootstrap | Hold Out канала Analytics University