Hindi Machine Learning Tutorial - Hindi Machine Learning Tutorial 13 - K Fold Cross Validation

Many times we get in a dilemma 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 #MachineLearningHindi #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #sklearn 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 To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file. Website: http://codebasicshub.com/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub