Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Mount the downloaded WebStorm-10*.dmg disk image file as another disk in your system."

A block of code is set as follows:

import pandas as pd
churn_data = pd.read_csv("churn.csv")
churn_data.head()

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

# The following command calculates the various statistics
for the features.
churn_data.describe()
# The following command displays the histograms for the
different features.
# You can replace the column names to plot the histograms
for other features
churn_data.hist(['CreditScore', 'Age', 'Balance'])
# The following command calculate the correlations among
features
churn_data.corr()

Any command-line input or output is written as follows:

 ! pip3 install --upgrade tensorflow

Bold: Indicates a new term, an important word, or words that you see on screen. For instance, words in menus or dialog boxes appear in bold. Here is an example: An example of a deep learning-based solution is the Amazon Echo virtual assistant.

Tips or Important Notes

Appear like this.