Ensemble Learning Full Course with Python | Voting, Bagging & Boosting (XGBoost)
📂 Datasets:
Dataset links for every topic are available in the pinned comments of their respective videos. Please check the playlist for individual topic videos and datasets.
00:00 Ensemble Learning Overview
Part 1 - Voting Methods
04:29 Voting Methods for Classification
28:53 Voting Methods for Regression
Part 2 - Bagging
45:43 Bagging for Classification
1:05:16 Bagging for Regression
Part 3 - Boosting
1:17:01 Boosting for Classification & Regression (XGBoost)
In this complete Ensemble Learning Full Course, we cover the most important ensemble techniques in Machine Learning with both theory and practical implementation using Python.
💻 Tools Used:
• Python
• Pandas
• NumPy
• Scikit-learn
• XGBoost
This video is part of the AIML Course by NexTechX, where future tech trends, AI, Machine Learning, and Data Science are explained with practical and real-world implementation.
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#MachineLearning #EnsembleLearning #VotingClassifier #Bagging #Boosting #XGBoost #Python #AIML
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