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Lec-44: K-Fold Cross Validation in Machine Learning

Name: Lec-44: K-Fold Cross Validation in Machine Learning
Uploaded: 2025-04-01T13:38:22+00:00
Duration: 9 min 52 s

Gate Smashers

👉 Complete ML Roadmap: https://www.gatesmashers.com/roadmaps/machine-learning K-fold Cross Validation is a powerful technique used in machine learning to assess the performance of a model. It helps in reducing bias, ensuring better generalization, and providing a more reliable estimate of model performance. In this video, Varun sir will explore the key points of K-fold Cross Validation, including how it works, its advantages, and how it can improve the accuracy of your machine learning models.

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Timestamps:

00:00 - What is Cross-Validation?

01:00 - Model

05:38 - Features of K-fold Cross Validation

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