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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

Exploring the six steps of data visualization

When it comes to effectively communicating key trends in your data, the method in which it is presented will always be important. When presenting any type of data to an audience, there are two main considerations: first, selecting the correct segment of data for the argument; second, selecting the most effective visualization for the argument. When working on a new visualization, there are six steps you can follow to help guide you:

  1. Acquire: Obtain the data from its source.
  2. Understand: Learn about the data and understand its categories and features.
  3. Filter: Clean the data and remove missing values, NaN values, and corrupt entries.
  4. Mine: Identify patterns or engineer new features.
  5. Condense: Isolate the most useful features.
  6. Represent: Select a representation for these features.

Let's look at each step in detail.

The first step is to acquire your data from its source. This source may be a simple...

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