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/1...

============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in
============================

📱 Grow with us:
CampusX' LinkedIn:   / campusx-official  
CampusX on Instagram for daily tips:   / campusx.official  
My LinkedIn:   / nitish-singh-03412789  
Discord:   / discord  
E-mail us at [email protected]

✨ 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