Imbalanced Classification with Python: Choose Better...

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Imbalanced Classification with Python:...

Imbalanced Classification with Python: Choose Better Metrics, Balance Skewed Classes, and Apply Cost-Sensitive Learning

Name: Imbalanced Classification with Python: Choose Better Metrics, Balance Skewed Classes, and Apply Cost-Sensitive Learning
ISBN: 9798468452240

Jason Brownlee

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Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal.

Cut through the equations, Greek letters, and confusion, and discover the specialized techniques data preparation techniques, learning algorithms, and performance metrics that you need to know.

Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently develop robust models for your own imbalanced classification projects.

种类:

Computers - Computer Science

年:

2020

出版:

v1.2

出版社:

Machine Learning Mastery

语言:

english

页:

463