### Logistic Regression using matlab

Logistic Regression is one of the most famous classification algorithms, like Linear Regression we discussed before , it is easy to implement and gives great predictions.

The Logistic Regression algorithm has two major categories:

The Logistic Regression algorithm has two major categories:

- Binary-Class: where the result is 0 or 1 (belong to a certain class or not), an example of it is the spam email detection problem, where the result could be 0 (not spam), or 1 (spam).
- Multi-Class: where the result could be any value in the range (0..n), where n is the number of classes, an example of it it the handwritten digit recognition, where we have 10 classes (n = 10), each class represent a number between 0 and 9.

Implementing Binary-Class Logistic Regression using matlab is similar to implementing Linear Regression, with some modifications of the hypothesis and cost function formulas.

In this video, I implement the algorithm using matlab:

## Comments

## Post a Comment