Chapter 1 An Introduction to Ensemble LearningChapter Goal This chapter will give you a brief overview of ensemble learningNo of pages - 10Sub -Topics61656 Need for ensemble techniques in machine learning61656 Historical overview of ensemble learning61656 A brief overview of various ensemble techniques61656Chapter 2 Varying Training DataChapter Goal In this chapter we will talk in detail about ensemble techniques where trainingdata is changed.No of pages 30Sub - Topics 61656 Use of bagging or bootstrap aggregating for making ensemble model61656 Code samples61656 Popular libraries support for bagging and best practices61656 Introduction to random forests models61656 Hands-on code examples for using random forest models61656 Introduction to cross validation methods in machine learning61656 Intro to K-Fold cross validation ensembles with code samples61656 Other examples of varying data ensemble techniquesbrChapter 3 Varying CombinationsChapter Goal In this chapter we will talk about in de