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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 with MySQL

In the following tutorial, we will explore one of the most common processes to launch a cloud-based server to host a private relational database. First, we will install an instance of MySQL—one of the most popular database management platforms. We will then create a full free-tier AWS RDS server and connect it to the MySQL instance. Finally, we will upload a local Comma-Separated Values (CSV) file pertaining to small-molecule toxicity and their associated properties and begin exploring and learning to query our data from our dataset.

You can see a representation of AWS RDS being connected to the MySQL instance here:

Figure 3.4 – Diagram showing that MySQL will connect to AWS RDS

Important note

Note that while this tutorial involves the creation of a database within this AWS RDS instance for the toxicity dataset, you will be able to recycle all the components for future projects and create multiple...

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