Logistic Regression, Machine Learning, Hypothesis, Sigmoid Function.
between zero and one. When we were using linear regression, this was the form of a hypothesis, where H of X is theta transpose X. For logistic regression, I’m going to modify this a little bit, and make the hypothesis G of theta transpose X, where I’m going to define the function G as follows: G of