Cross Validation In Machine Learning | Cross Validation | Machine Learning Tutorial | Simplilearn

In this video on Cross Validation you will learn to select the best machine learning model for your data. We will start off by finding out why cross validation is important. We will then move on to cross validation and the steps involved in the process. We will then cover some common cross validation models and see why cross validation is better that train-test-split.

00:00:00 Need for Cross-Validation
00:02:13 What is Cross-Validation?
00:04:24 Steps involved in Cross-Validation
00:05:42 Cross-validation models
00:11:44 Cross-validation over train-test-split

#CrossValidationInMachineLearning #WhatIsCrossValidation #CrossValidationAndItsTypes #MachineLearningFundamentals #MachineLearning #MachineLearningTraining #Simplilearn

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[adeyemiemmanuelsegun]

Why not use one hot encoding for the categorical features/variables

[olaoluwaogunsola]

cross validation works better on small datasets than train_test_split right?

[MrMusicBA]

Hi, I love your videos classes but I must say that you committed a big mistake in this video, you choose KNN model instead LR because you said that KKN have less error but your metric is Accuracy, so as much higher is better, in this case, is better choice LR model

[GaryRey-fqoz]

Hello Sir, thanks for the video, But why is 0.77 accuracy better than 0.79