Machine Learning Playlist - Hindi-Types Of Cross Validation In Machine Learning|Krish Naik

Cross-Validation also referred to as out of sampling technique is an essential element of a data science project. It is a resampling procedure used to evaluate machine learning models and access how the model will perform for an independent test dataset. Below are the types of cross validation. Leave one out cross-validation Holdout cross-validation Repeated random subsampling validation k-fold cross-validation Stratified k-fold cross-validation Time Series cross-validation #crossvalidation #machinelearning #datascience github: https://github.com/krishnaik06/Machine-Learning-Algorithms-Materials Subscribe @krishnaik06 Channel For Data Science Videos In English. channel link: https://bit.ly/3aeve4r ML playlist in hindi: https://bit.ly/3NaEjJX Stats Playlist In Hindi:https://bit.ly/3tw6k7d Python Playlist In Hindi:https://bit.ly/3azScTI Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06