In this example, we will predict the concentration of benzene in the atmosphere given some other variables such as concentrations of carbon monoxide, nitrous oxide, and so on in the atmosphere as well as temperature and relative humidity. The dataset we will use is the air quality dataset from the UCI Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets/Air+Quality). The dataset contains 9,358 instances of hourly averaged readings from an array of five metal oxide chemical sensors. The sensor array was located in a city in Italy, and the recordings were made from March 2004 to February 2005.
As usual, first we import all our necessary libraries:
from keras.layers ...
