Supervised Machine Learning

As previously mentioned, supervised machine learning refers to a prominent algorithmic approach that revolves around solving the function \(y=f(x)\) , wherein y and x denote the objective and descriptor variables, respectively. The nature of the objective variable dictates whether the models developed fall under the classification or regression category. This chapter serves as an avenue for delving deeper into the realm of supervised machine learning algorithms, wherein a diverse array of such algorithms shall be presented and discussed. Within the context of this chapter, we will familiarize ourselves with a variety of commonly utilized supervised machine learning models, leveraging the capabilities of Python libraries such as pandas and scikit-learn for their implementation and execution.