Prediction and Classification

Abstract

In this chapter, a complete overview of prediction and classification processes has been provided. The concept of prediction is explained with simple linear regression examples that are easily and manually solved; with this, in-depth idea of regression is understandable for readers. In continuation to this, multiple linear regression is also explained. After this, the concept of classification has been explained through logistic regression. Complete process of feature extraction and classification has been demonstrated by real ECG dataset. MatLab codes have also been given to get the real experience of predication and classification processes. After getting an idea of regression and logistic function used for classification, the concept of artificial neural networks becomes very easy to understand. Basic and necessary steps of ANN and its training and testing have been explained. After reading this chapter and following the given examples, readers will easily understand the complex models of ANN and deep neural networks for the classification and prediction problems.