Diseño de un Modelo Predictivo de Fuga de Clientes Utilizando Algoritmos Machine Learning
Documento de trabajo
2020-12-10
The companies providing mobile telecommunications services contribute to
the economic development of the country, as they are necessary to maintain the flow
of information between various channels and services. Now in Colombia there are
several national and international companies that provide mobile services and the high
penetration of this market has generated that they train in competition for users. This
means that companies have the great challenge of maintaining the satisfaction and
loyalty of their users. In order to achieve user loyalty, it is necessary to understand and
understand the behavior of users before they request portability or flight to another
company, in order to anticipate this behavior, the analysis and modeling will be
developed in this work through Machine Learning techniques and the choice of that
best suits user behaviors.
- FAA. Tesis [6]
Descripción:
Diseño de un Modelo Predictivo de Fuga de Clientes.pdf
Título: Diseño de un Modelo Predictivo de Fuga de Clientes.pdf
Tamaño: 1.482Mb
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Título: Diseño de un Modelo Predictivo de Fuga de Clientes.pdf
Tamaño: 1.482Mb
PDFLEER EN FLIP