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Machine Learning in Biotechnology and Life Sciences

You're reading from   Machine Learning in Biotechnology and Life Sciences Build machine learning models using Python and deploy them on the cloud

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801811910
Length 408 pages
Edition 1st Edition
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Author (1):
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Saleh Alkhalifa Saleh Alkhalifa
Author Profile Icon Saleh Alkhalifa
Saleh Alkhalifa
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Getting Started with Data
2. Chapter 1: Introducing Machine Learning for Biotechnology FREE CHAPTER 3. Chapter 2: Introducing Python and the Command Line 4. Chapter 3: Getting Started with SQL and Relational Databases 5. Chapter 4: Visualizing Data with Python 6. Section 2: Developing and Training Models
7. Chapter 5: Understanding Machine Learning 8. Chapter 6: Unsupervised Machine Learning 9. Chapter 7: Supervised Machine Learning 10. Chapter 8: Understanding Deep Learning 11. Chapter 9: Natural Language Processing 12. Chapter 10: Exploring Time Series Analysis 13. Section 3: Deploying Models to Users
14. Chapter 11: Deploying Models with Flask Applications 15. Chapter 12: Deploying Applications to the Cloud 16. Other Books You May Enjoy

Introducing the command line

The command line is available for Mac, PC, and Linux. While the following examples were executed on a Mac, very similar functionality is also applicable on a PC, but with a slightly different syntax.

You can begin the process by opening the command line (known as Terminal on a Mac and Command Prompt on a PC). Opening Terminal will usually, by default, bring you to what's known as your home directory. The text you first see will specify your username and the name of your system, separated by the @ symbol. Let's look at some basic commands.

In order to identify the path of your current (working) directory, you can use the pwd command:

  $ pwd

This will return the exact directory that you are currently in. In the case of my system, the returned path was as follows:

Users/alkhalifas

In order to identify the contents within this particular directory, you can use the ls command, which will return a list of directories and...

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