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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

You're reading from AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Product type Book

Published in Mar 2021

Publisher Packt

ISBN-13 9781800569003

Pages 338 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Somanath Nanda

Weslley Moura

View More author details

Table of Contents (14) Chapters

Preface

1. Section 1: Introduction to Machine Learning

2. Chapter 1: Machine Learning Fundamentals

3. Chapter 2: AWS Application Services for AI/ML

4. Section 2: Data Engineering and Exploratory Data Analysis

5. Chapter 3: Data Preparation and Transformation

6. Chapter 4: Understanding and Visualizing Data

7. Chapter 5: AWS Services for Data Storing

8. Chapter 6: AWS Services for Data Processing

9. Section 3: Data Modeling

10. Chapter 7: Applying Machine Learning Algorithms

11. Chapter 8: Evaluating and Optimizing Models

12. Chapter 9: Amazon SageMaker Modeling

13. Other Books You May Enjoy

Visualizing compositions in your data

Sometimes, you want to analyze the various elements that compose your feature; for example, the percentage of sales per region or percentage of queries per channel. In both examples, we are not considering any time dimension; instead, we are just looking at the data as a whole. For these types of compositions, where you don't have the time dimension, you could show your data using pie charts, stacked 100% bar charts, and treemaps.

The following is a pie chart showing the number of queries per customer channel, for a given company, during a pre-defined period of time:

Figure 4.11 – Plotting compositions with a pie chart

If you want to show compositions while considering a time dimension, then your most common options would be a stacked area chart, a stacked 100% area chart, a stacked column chart, or a stacked 100% column chart. For reference, take a look at the following chart, which shows the sales per region...

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Authors (2)

Somanath Nanda

Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.

See other products by Somanath Nanda

Weslley Moura

Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.

See other products by Weslley Moura

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