Logistic Regression, Stochastic Gradient, Regularization.
yhat is 0.8 For first point xi: Now lets take a look at all the points: Similarly, for b: Need for Regularization Before we move towards Gradient Descent implementation we need to make some modification to the optimization objective. Lets go back to the original Loss function: Here, the only thing