16. Cross Validation Explained | Types of Cross Validation in Machine Learning | ML Basics

Cross Validation is one of the most important concepts in Machine Learning model evaluation.
In this video, you’ll learn what cross validation is, why it is needed, and the different types of cross validation used in ML.

We cover:
✔ What is Cross Validation
✔ Why train-test split is not enough
✔ K-Fold Cross Validation
✔ Stratified K-Fold Cross Validation
✔ Leave-One-Out Cross Validation (LOOCV)
✔ Time Series Cross Validation
✔ When to use which type

This video is perfect for:
✅ Machine Learning beginners
✅ Data Science interview preparation
✅ Students learning model validation techniques

📌 Watch till the end to clearly understand how cross validation improves model performance and prevents overfitting.
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#MachineLearning
#DataScience
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#KFold
#StratifiedKFold
#LOOCV
#MLBasics
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#MLInterview

Видео 16. Cross Validation Explained | Types of Cross Validation in Machine Learning | ML Basics канала GenAI Systems with Kartika