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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

Tutorial – getting started in Python

Python is an extensive language, and any attempt to summarize its capabilities in under 10 pages would be limited. While this book is not intended to be used as a comprehensive guide to Python, we will talk through a number of the must-know commands and capabilities that every data scientist should be aware of. We will see the vast majority of these commands come up in the tutorials to come.

Creating variables

One of the core concepts in Python is the idea of variables. Variables are items that Python manipulates, with each variable having a type. Operators such as addition (+) or subtraction (-) can be combined with variables to create expressions. An example of an expression can be created using three variables. First, a value of 5 will be assigned to the x variable, and then, a value of 10 will be assigned to the y variable. The two variables (x and y), which are now representing numerical values, are considered objects in Python...

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