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Machine Learning Lecture 21 | Ensemble Learning | Types & Methods (Bagging, Boosting, Stacking)

Assalam-o-Alaikum! Welcome to the 21st lecture of our complete Machine Learning course in Urdu/Hindi.

In this video, we dive deep into Ensemble Learning – one of the most powerful techniques used to improve model accuracy and performance.

🔍 What you will learn in this lecture:

What is Ensemble Learning and why it matters

Types of Ensemble Learning: Sequential vs Parallel

Key methods of Ensemble Learning:

Bagging (Bootstrap Aggregating)

Boosting

Stacking

This lecture is part of the Gilgit-Baltistan Tech Talent Transformation Program in Artificial Intelligence and Data Science, brought to you in collaboration with industry experts.

🎓 Instructor: Haffiz-Ud-Din
Data Scientist at Silicon Global Technologies

📌 Playlist: https://www.youtube.com/playlist?list=PLK3SYvCPdX9nSbBwZJv7UXNU3Sp0fVxs5
📢 Subscribe & hit the bell icon to stay updated with upcoming lectures.

💬 Questions or suggestions? Drop them in the comments below!

#MachineLearning #EnsembleLearning #Bagging #Boosting #Stacking #Urdu #Hindi #AI #DataScience #GBTechProgram

Видео Machine Learning Lecture 21 | Ensemble Learning | Types & Methods (Bagging, Boosting, Stacking) канала Data Talks
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