Logistic Regression, Machine Learning, Hypothesis, Sigmoid Function.
but it’s basically saying that probability of Y equals zero for a particular patient with features x, and you know, given our parameter’s data, plus the probability of Y equals one for that same patient which features x and you parameters theta must add up to one, if this equation looks a little