# Ensemble Method in Machine Learning

Ensemble method is a technique in which we take a group of the [#ml](https://www.linkedin.com/feed/hashtag/?keywords=ml&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7069010356215398400) models and then we combine the predictions of those models to produce optimal predictive model. Ensemble means a group.

## **Steps:**

* Use the ensemble and make prediction
    
* Then calculate a loss function eg: mean squared error
    
* Fit a new model using the loss function
    
* Add this new model in ensemble
    
* Repeat
    

## **Types of ensemble methods:**

* Voting
    
* Averaging
    
* Stacking
    
* Bootstrap
    
* Aggregating (Bagging)
    
* Boosting