Ensemble Learning Full Course with Python | Voting, Bagging & Boosting (XGBoost)

Опубликовано: 05 Июнь 2026
на канале: NexTechX
68
12

📂 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.

🔔 Subscribe for more AI/ML tutorials and full courses.

#MachineLearning #EnsembleLearning #VotingClassifier #Bagging #Boosting #XGBoost #Python #AIML


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