Importing the data

We are going to start by importing one of the required libraries for this task: NumPy. Let's get started!

1. We are also going to import pathlib, matplotlib, SeaBorn, tensorFlow, and keras. We've already learned about TensorFlow and Keras. matplotlib and SeaBorn are used for visualization. pathlib provides a readable and easier way to build paths. Finally, pandas is one of the best data preprocessing libraries available:

In[1]: import pathlib
In[2]: import matplotlib.pyplot as plt
In[3]: import pandas as pd
In[4]: import seaborn as sns
In[5]: import tensorflow as tf
In[6]: from tensorflow import keras
In[7]: from tensorflow.keras import layers
In[8]: from __future__ import absolute_import, division, print_function, unicode_literals

2. Now, we will import the data using https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data:

In[9]: dataset_path = keras.utils.get_file("auto-mpg.data", "https://archive.ics.uci.edu...