Stacking and Blending Ensembles

In this video, we'll try to understand the concepts of stacking and blending ensembles, powerful techniques to enhance model performance in machine learning. We'll explain how combining multiple models strategically can lead to improved predictions and showcase their application in real-world scenarios.

Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day68-stacking-and-blending

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✨ Hashtags✨

#EnsembleLearning
#ModelStacking
#BlendingEnsembles
#BoostingPerformance
#MachineLearningTechniques
#ModelEnsemble

⌚Time Stamps⌚

00:00 - Intro
00:40 - What is Stacking?
09:25 - The problem with stacking
10:35 - Solutions
12:05 - Blending - using Hold Out Approach
17:44 - Stacking - K Fold Approach
25:32 - Multi Layer Stacking
31:28 - SKLearn implementation / Code Demo

Видео Stacking and Blending Ensembles канала CampusX