Training Data Vs Test Data Vs Validation Data| Krish Naik

github for materials and notes: https://github.com/krishnaik06/Machine-Learning-Algorithms-Materials Training set: A set of examples used for learning, that is to fit the parameters of the classifier. Validation set: A set of examples used to tune the parameters of a classifier, for example to choose the number of hidden units in a neural network. Test set: A set of examples used only to assess the performance of a fully-specified classifier. Subscribe @Krish Naik 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