Logistic Regression, Stochastic Gradient, Regularization.
https://www.youtube.com/watch?v=wzwZtZAJGq8&list=RDCMUCJINtWke3-FMz2WuEltWDVQ&start_radio=1&rv=wzwZtZAJGq8&t=3 Sigmoid We are aware of the equation of Linear regression: y = wx + b, where w is the slope or weights and b is the y-intercept, which is the value of y when x is 0. In vectorized form we