# Logistic Regression

Published in

Apr 18, 2020

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# First

We need to remember that, what is **probability**?.

- Example: flipping a coin one time. The probability of getting a head =
*𝑝*(*ℎ𝑒𝑎𝑑*)=1/2

# Introduction

Logistic regression is a *supervised learning technique*, which is basically a **probabilistic classification model**. It is mainly used in predicting a binary predictor, such as checking whether credit card transaction is fraudulent or not. 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 .