In this video I cover the Bagging (Bootstrap Aggregating) and Boosting ensemble learning algorithms that are commonly across machine learning. I present how both Bagging and Boosting works, together discuss their similarities and differences.

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Contents
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00:00 - Intro
00:18 - Bagging
00:52 - Boosting
01:42 - Model Building
02:51 - Ensemble Predictions
03:10 - Bias and Variance
03:45 - Final thoughts

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#bagging #boosting #ensemble