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Cross-validation is a technique for evaluating ML models by training several ML models on subsets of the available input data and evaluating them on the complementary subset of the data. Use cross-validation to detect overfitting, ie, failing to generalize a pattern. 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 Now I will be uplaoding videos of Data Science In Hindi. #KrishNaik #trainingdata #machinelearning #validationdata Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06
