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. 🔔 Subscribe for more AI/ML tutorials and full courses. #MachineLearning #EnsembleLearning #VotingClassifier #Bagging #Boosting #XGBoost #Python #AIML