Practical Aspects in Machine Learning

In this chapter, we focus on the practical aspects in machine learning. Framework for data preparation techniques is looked into. Various practical aspects for implementation of machine learning are discussed, like preprocessing, dimension reduction techniques, feature engineering, and methods for feature selection. We wrap up the chapter by looking into the techniques for dealing with imbalanced data.