K-Fold Cross-Validation: A Complete Guide for Model Evaluation | In Hindi [Lecture 17]

In this video, we dive deep into the concept of K-Fold Cross-Validation, an essential technique in machine learning for evaluating model performance.

00:00 - Importance of K-Fold Cross-Validation
09:45 - Understanding the Concept of K-Fold Cross-Validation
13:02 - Implementing K-Fold Cross-Validation for Model Selection

By the end of this video, you'll have a solid grasp of K-Fold Cross-Validation and be ready to use it in your projects.

🎓 Meet Your Instructor
Pritam Kudale, an experienced AI educator with 10+ years of expertise, is dedicated to equipping educators with modern AI/ML teaching strategies and tools.

🔗 Connect with Pritam Kudale: LinkedIn Profile https://www.linkedin.com/in/pritam-kudale-90793236/

🔗 Relevant Links:
Check out more resources in the description below for datasets, code snippets, and additional reading material : https://github.com/pritkudale/ML-for-Teachers/blob/main/Linear%20Regression/K_fold_cross_validation_demo.ipynb

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Видео K-Fold Cross-Validation: A Complete Guide for Model Evaluation | In Hindi [Lecture 17] канала Vizuara