Logistic Regression and Optimization

Posted on Wed 29 April 2015 in ml • Tagged with tutorial, logistic-regression

Logistic Regression and Gradient DescentΒΆ

Logistic regression is an excellent tool to know for classification problems. Classification problems are problems where you are trying to classify observations into groups. To make our examples more concrete, we will consider the Iris dataset. The iris dataset contains 4 attributes for 3 types of iris plants. The purpose is to classify which plant you have just based on the attributes. To simplify things, we will only consider 2 attributes and 2 classes. Here are the data visually:


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