Programming Exercise 2: Logistic Regression Summary PDF 1 Logistic Regression main program: ex2.m 1.1 Visualizing the data plotData.m 1.2 Implementation 1.2.1 Warmup exercise: sigmoid function sigmoid.m 1.2.2 Cost function and gradient costFunction.m 1.2.3 Learning parameters using fminunc None 1.2.4 Evaluating logistic regression predict.m 2 Regularized logistic regression main program: ex2_reg.m 2.1 Visualizing the data None 2.2 Feature mapping mapFeature.m 2.3 Cost function and gradient costFunctionReg.m 2.3.1 Learning parameters using fminunc None 2.4 Plotting the decision boundary None 2.5 Optional (ungraded) exercises ex2_reg.m line: 137