Machine Learning Tutorial Python 12 - K Fold Cross Validation HD
Code: https://github.com/codebasics/py/blob/master/ML/12_KFold_Cross_Validation/12_k_fold.ipynb Exercise: Exercise description is avialable in above notebook towards the end Many times we get in a dilema of which machine learning model should we use for a given problem. KFold cross validation allows us to evaluate performance of a model by creating K folds of given dataset. This is better then traditional train_test_split. In this tutorial we will cover basics of cross validation and kfold. We will also look into cross_val_score function of sklearn library which provides convenient way to run cross validation on a model Website: http://codebasicshub.com/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub Google +: https://plus.google.com/106698781833798756600
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