Aplicación de Machine Learning para la clasificación, suscripción y abandono/retiro de la suscripción de la Compañía Anónima el Universo.

Abstract

The human capacity to create things that increase the fitness of individuals is constantly growing, which is why technology takes giant steps and it is up to people to keep up and adapt, since every year new tools emerge with which it is possible to exploit a little more the talent that one possesses. Machine learning business intelligence, artificial intelligence (and other names with which this tool is known) are some of the tools that manage to increase security when making a business decision, giving an idea of what it would represent to make said decision. This is thanks to the fact that it gives an accurate result and reduces the error or failure; and accompanied by a good implementation, it's of enormous value in business decisions. The purpose of this project is to demonstrate that tools such as machine learning can help prevent situations that are not wanted in a company. Using as an example the subscribers of the renowned company C. A. El Universo. For this, the decision tree and random forest models will be used, which will serve to correctly classify the subscribers of this company and evaluate their fidelity to said subscription, according to the results the company can opt for an individual strategy for each person and thus, keeping the client subscribed to the service, avoiding a loss.