Logistic Regression, Stochastic Gradient, Regularization.
like 0.5 to put datapoints in class 0 or class 1. We will look at what a binary classification problem looks like later in the post. But lets understand why this makes sense. The one major flaw with Linear Regression formula is that a single point can have a massive impact on the optimization