The most crucial step in the machine learning pipeline is related to experimental data content and semantic analysis to predict new data’s meaning.

The methods and algorithms of supervised and supervised learning are presented in this chapter. The Python codes for the most useful analytical methods described in the chapter are presented in the Supplemental Materials.