Ensemble Learning

A machine learning approach where multiple models are combined to produce stronger, more reliable results. For example, combining a decision tree, logistic regression, and a neural network can outperform any single model.

• Boosts accuracy and reduces overfitting
• Widely used in fraud detection, recommendation engines, and competitions like Kaggle
• Ideal for high-stakes applications requiring robustness