Programming Exercise 2: Logistic Regression In this exercise, you will implement logistic regression and apply it to two different datasets.

Files included in this exercise ex2.m - Octave/MATLAB script that steps you through the exercise ex2 reg.m - Octave/MATLAB script for the later parts of the exercise ex2data1.txt - Training set for the first half of the exercise ex2data2.txt - Training set for the second half of the exercise submit.m - Submission script that sends your solutions to our servers mapFeature.m - Function to generate polynomial features plotDecisionBoundary.m - Function to plot classifier’s decision boundary plotData.m - Function to plot 2D classification data sigmoid.m - Sigmoid Function costFunction.m - Logistic Regression Cost Function predict.m - Logistic Regression Prediction Function costFunctionReg.m - Regularized Logistic Regression Cost