Introduction

In the previous chapter, we learned various techniques, such as the backward elimination technique, factor analysis, and so on, that helped us to deal with high-dimensional datasets.

In this chapter, we will further enhance our repertoire of skills with another set of techniques, called ensemble learning, in which we will be dealing with different ensemble learning techniques such as the following:

• Averaging
• Weighted averaging
• Max voting
• Bagging
• Boosting
• Blending