9 - Data analysis and machine learning tools in MATLAB and Python

Abstract

In this chapter, we discuss the popular machine learning (ML) and data processing tools and functions in MATLAB and Python. We review available functions and methods (particularly in MATLAB) to implement and demonstrate biomedical data analysis techniques. This is achieved by traversing the entire path of data analysis, from the initial loading and reading in of the raw data to advanced implementation of ML algorithms, and final phase of knowledge inference. We describe in detail the various phases of data processing and analysis. This includes loading, cleansing and imputation, preprocessing, dimensionality reduction, variables selection, clustering, classification, data visualization, and finally models' evaluation and validation. This chapter discusses the various tools and functions available in MATLAB and Python for implementing all these processes. The various examples discussed are intended to provide the reader a basic knowledge and understanding of the implementation of vital functions and modules for data analysis.