March 2019
Beginner to intermediate
464 pages
10h 57m
English
Content preview from Hands-On Data Science for Marketing
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Logistic regression
Logistic regression is a type of regression analysis that is used when the output variable is binary (one for a positive outcome versus zero for a negative outcome). Like any other linear regression models, logistic regression models estimate the output from linear combinations of the feature variables. The only difference is what the model estimates. Unlike other linear regression models, logistic regression models estimate the log odds of an event, or, in other words, the log ratios between the probabilities of positive and negative events. The equation looks as follows:
The ratio on the left is the odds of success, which ...
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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.