Ensemble Learning involves combining multiple Machine Learning models to achieve superior performance and accuracy. By leveraging the “wisdom of the crowd,” Ensemble Learning mitigates the drawbacks of individual models and delivers more robust and reliable predictions.
Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…