Option #$2$: Predicting Fuel Efficiency Using TensorFlow

In a regression problem, we aim to predict the output of a continuous value, like a price or a probability. Contrast this with a classification problem, where we aim to select a class from a list of classes $($for example, where a picture contains an apple or an orange, recognizing which fruit is in the picture$).$

This assignment uses the classic Auto MPGLinks to an external site. Dataset and builds a model to predict the fuel efficiency of late$-1970$s and early$-1980$s automobiles. The data model includes descriptions of many automobiles from that time period. The description for an automobile includes attributes such as cylinders, displacement, horsepower, and weight.