October 2017
Beginner to intermediate
270 pages
7h
English
To intuitively understand the problem domain of the logistic regression, we will employ a graphical representation.
In the first we show the linear fitting function, which is the main objective of the whole model building process, and at the bottom, the target data distribution. As you clearly see, data is now of a binary nature, and a sample belongs to one or another options, nothing in the middle. Additionally, we see that the modelling function is of a new type; we will later name it and study its properties. You may wonder what this has it to do with a linear function? Well, as we will see later, it will be inside of that s-like function, adapting its shape.
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