Logistic Regression, Stochastic Gradient, Regularization.
Descent (SGD) !!! SGD: We simply replace n from the above implementation by k. Here, k is simply a value significantly lesser than n. Here, we take a sample of k points at every iteration. This significantly speeds up the runtime but at the cost of needing more iterations as we now use lesser data