Logistic Regression is a machine learning technique that is used in classification the name is regression but is actually a classification technique it is used to find the relationship between the dependent and independent variables it is also represented as many names like logit log function etc. it is mostly used in a binary classification where one or more dependent variables are the independent variable

This can be extended, several classes like data set contain images like cat dog and elephant, etc. it assigns the probability between 0 and 1 and adding them, this is a simple explanation about logistic regression so let’s go too deep and try to exact formulation of logistic regression and perform some mathematical operation to option the logistic regression

Logistic Regression With Geometric Methods

Logistic Regression can be performed by three methods like Geometric probability and loss-function. In this article, we will try to perform a geometrical formulation of logistic regression.

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