graydonhope / Logistic-Regression

Implementing logistic regression on different data sets. Creating sigmoid function, cost function, and adding regularization to cost and gradient.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Machine Learning Implementation: Logistic Regression

Implementing logistic regression on different data sets. Creating sigmoid function, cost function, and adding regularization to cost and gradient.

Some theory about the project...

Cost Function (with Regularization): cost function

Gradient formula for Theta parameter 0: gradient 1

Gradient formula for Theta paramter >= 1: gradient 2

Plotting Data and Visualization:

visualize data

About

Implementing logistic regression on different data sets. Creating sigmoid function, cost function, and adding regularization to cost and gradient.


Languages

Language:MATLAB 100.0%