November 2015
Intermediate to advanced
190 pages
4h 11m
English
Content preview from Test Driven Machine Learning
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Chapter 5. Making Decisions Black and White with Logistic Regression
In the last chapter, we used regression to predict values over a continuous range. In this chapter, we will explore the tuning of a regression model that predicts a binary classification. You are probably already pretty familiar with this method, so we'll spend just time introducing the aspects that we'll be leveraging.
The most important thing about logistic regression is that its form is very different from linear regression. Likewise, interpreting the results is also different and quite confusing. A standard N-variable logistic regression model has the following form:
While in ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.