In this example, we will enter into an area where Neural Networks provide most of their added value; solving non linear problems. To begin this journey, we will be modeling a regression model for the fuel efficiency of several car models, based on several variables, which can be better represented by non linear functions.
For this problem, we will be analyzing a very well-known, standard,well-formeddataset, which will allow us to analyze a multi-variable problem: guessing the mpg an automobile will have based on some related variables, discrete and continuous.
This could be considered a toy and somewhat dated example, but it will pave the way to more complex problems, and has the advantage of being already analyzed by numerous bibliographies.
Attribute Information
This dataset has the following data columns:
mpg: continuous
cylinders: multi-valued discrete
displacement: continuous
horsepower...