Welcome to Day 9 of your AI & ML learning journey! 🚀
In this session, we’ll explore K-Fold Cross Validation, a powerful technique to evaluate machine learning models more reliably. Learn how splitting data into multiple folds helps in reducing overfitting and improving model performance.
📌 What You’ll Learn:
✅ What is K-Fold Cross Validation?
✅ How it improves model evaluation
✅ Step-by-step implementation in Python
✅ Benefits over simple train-test split
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