Logistic Regression Simply Explained in 5 minutes

Author(s): Serafeim Loukas, PhD

Originally published on Towards AI.

A simple and gentle introduction to Logistic Regression with Python code & a working example

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Logistic regression is a machine learning technique with origins from the field of statistics. It is a really widely used method for binary classification problems (note: it is not a regression method as its name suggests) but can also be used for multi-class classification problems (e.g. more than 2 classes/labels with one-vs-rest implementation).

Logistic regression is named after the function used at the core of the method, the logistic function.

The logistic function, also… Read the full blog for free on Medium.

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Published via Towards AI