Ensemble Model using Excel

Ensemble methods combine several decision trees classifiers to produce better predictive performance than a single decision tree classifier. The main principle behind the ensemble model is that a group of weak learners come together to form a strong learner, thus increasing the accuracy of the model.
The zip file contains 2 excel sheets demonstrating the process of boosting and bagging step by step without any codes. The excel sheets comes with accompanying PPT explaining all the steps.