Hindi Machine Learning Tutorial 13 - K Fold Cross Validation

Описание к видео 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

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Code: https://github.com/codebasics/py/blob...
Exercise: Exercise description is avialable in above notebook towards the end
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