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

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Published inFeb 2024
PublisherPackt
ISBN-139781835082201
Edition2nd Edition
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Authors (2):
Somanath Nanda
Somanath Nanda
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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.
Read more about Somanath Nanda

Weslley Moura
Weslley Moura
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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.
Read more about Weslley Moura

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Dealing with categorical features

Data transformation methods for categorical features will vary according to the sub-type of your variable. In the upcoming sections, you will understand how to transform nominal and ordinal features.

Transforming nominal features

You may have to create numerical representations of your categorical features before applying ML algorithms to them. Some libraries may have embedded logic to handle that transformation for you, but most of them do not.

The first transformation you will learn is known as label encoding. A label encoder is suitable for categorical/nominal variables, and it will just associate a number with each distinct label of your variables. Table 4.2 shows how a label encoder works:

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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition
Published in: Feb 2024Publisher: PacktISBN-13: 9781835082201

Authors (2)

author image
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.
Read more about Somanath Nanda

author image
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.
Read more about Weslley Moura

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Label encoding

India

1

Canada

2

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