This is the first article of a series to present different forecasting models. We will start by using the Exponential Smoothing model provided by...
Data is not perfect, there is always a need to clear and transform a dataset before training a Machine Learning model or simply take insights from the...
One of the most common model used in Machine Learning is Linear Regression. The linear regression determines the line that best represents the trend...
Introduction Identifying patterns and structure data is a key to success in Data Science. There are many ways out there to accomplish this task....
Inicio El otro día un colega del equipo de ventas me pregunto "¿Qué haces en tu puesto? ". La verdad me sentí en conflicto con la pregunta pues tengo...