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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition

You're reading from  AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781835082201
Pages 342 pages
Edition 2nd Edition
Languages
Authors (2):
Somanath Nanda Somanath Nanda
Profile icon Somanath Nanda
Weslley Moura Weslley Moura
Profile icon Weslley Moura
View More author details

Table of Contents (13) Chapters

Preface 1. Chapter 1: Machine Learning Fundamentals 2. Chapter 2: AWS Services for Data Storage 3. Chapter 3: AWS Services for Data Migration and Processing 4. Chapter 4: Data Preparation and Transformation 5. Chapter 5: Data Understanding and Visualization 6. Chapter 6: Applying Machine Learning Algorithms 7. Chapter 7: Evaluating and Optimizing Models 8. Chapter 8: AWS Application Services for AI/ML 9. Chapter 9: Amazon SageMaker Modeling 10. Chapter 10: Model Deployment 11. Chapter 11: Accessing the Online Practice Resources 12. Other Books You May Enjoy

Summary

You started this chapter by learning how to visualize relationships in the data. Scatter plots and bubble charts are the most important charts in this category to show relationships between two or three variables, respectively.

Then, you moved to another category of data visualization, which aimed to make comparisons in the data. The most common charts that you can use to show comparisons are bar charts, column charts, and line charts. Tables are also useful to show comparisons.

The next use case that you learned was visualizing data distributions. The most common types of charts that are used to show distributions are histograms and box plots.

Then, you moved to compositions. You can use this set of charts when you want to show the different elements that make up the data. While showing compositions, you must be aware of whether you want to present static data or data that changes over time. For static data, you should use a pie chart, a stacked 100% bar chart, or...

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