August 2015
Beginner to intermediate
294 pages
5h 20m
English
Content preview from Mastering Python for Data Science
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Logistic regression
Logistic regression is another supervised learning technique, which is basically a probabilistic classification model. It is mainly used in predicting a binary predictor, such as whether a customer is going to churn or if a credit card transaction is fraudulent.
Logistic regression uses logistics. A logistic function is a very useful function that can take any value from a negative infinity to a positive infinity, and output values from 0 to 1. Hence, it is interpretable as a probability. The following is the logistic function that generates predicted values from 0 to 1 based on the dependent x variable:
Here, x will be the independent ...
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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.