Types of Cross-Validation in Machine Learning|K-Fold,Stratified K-Fold, LOOCV,LPOCV

What is Cross-Validation in Machine Learning?
Types of Cross-Validation in Machine Learning.
What is K-Fold Cross Validation
What is Stratified K-Fold Cross Validation
What is Leave-One-Out Cross Validation (LOOCV)
What is Leave-P-Out Cross Validation
What is the Validation Set Approach
K-Fold Cross Validation Its Advantages and Disadvantages
Stratified K-Fold Cross Validation Its Advantages and Disadvantages
Leave-One-Out Cross Validation (LOOCV) Its Advantages and Disadvantages
Leave-P-Out Cross Validation Its Advantages and Disadvantages
Validation Set Approach Its Advantages and Disadvantages

#crossvalidation #validation #kfold #stratified_sampling #leaveoneoutcrossvalidation #leavepoutcrossvalidation #validationapproach #machinelearning #machinelearningalgorithms #datascienceforbeginners #datascienceinterviewquestions #datasciencebasics #machinelearningtutorialforbeginners