Decision Trees and Random Forest are two of the most powerful and widely used algorithms in Machine Learning. In this video, we simplify how Decision Trees work and show how Random Forest combines multiple trees to deliver more accurate and reliable predictions.
📊 Perfect for beginners looking to understand how machines make decisions and how ensemble learning improves model performance.
What you’ll learn:
✔️ What a Decision Tree is (splits, nodes, leaves) ✔️ How Random Forest works ✔️ Overfitting & pruning explained ✔️ Real-world use cases like fraud detection and customer churn
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