Ensemble Machine Learning: A beginner's guide that combines powerful machine learning algorithms to build optimized models

• Learn how to maximize popular machine learning algorithms such as random forests, decision trees, AdaBoost, K-nearest neighbor, and more
• Get a practical approach to building efficient machine learning models using ensemble techniques with real-world use cases
• Implement concepts such as boosting, bagging, and stacking ensemble methods to improve your model prediction accuracy

Ensembling is a technique of combining two or m…