Bagging/Bootstrap Aggregating in Machine Learning with examples

Bagging (Bootstrap Aggregating) is a powerful ensemble technique in machine learning designed to improve model accuracy and reduce variance. In this video, we’ll explore how Bagging works and its significant impact on enhancing model performance.

00:00 – Introduction
00:16 – Bagging/Bootstrap
02:28 – Ensemble learning

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