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Supervised Machine Learning with Python

You're reading from   Supervised Machine Learning with Python Develop rich Python coding practices while exploring supervised machine learning

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781838825669
Length 162 pages
Edition 1st Edition
Languages
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Author (1):
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Taylor Smith Taylor Smith
Author Profile Icon Taylor Smith
Taylor Smith
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Logistic regression models

In this section, we will look at logistic regression, which is the first hill-climbing algorithm that we'll cover, and we will have a brief recap of linear regression. We will also look at how logistic regression differs both mathematically and conceptually. Finally, we will learn the core algorithm and explain how it makes predictions.

The concept

Logistic regression is conceptually the inverse of linear regression. What if, rather than a real value, we want a discrete value or a class? We have already seen one example of this type of question early on when we wanted to predict whether or not an email was spam. So, with logistic regression, rather than predicting a real value, we can predict...

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