Files included in this exercise ex1.m- Octave script that will help step you through the exercise ex1 multi.m- Octave script for the later parts of the exercise ex1data1.txt- Dataset for linear regression with one variable ex1data2.txt- Dataset for linear regression with multiple variables submit.m- Submission script that sends your solutions to our servers [?] warmUpExercise.m- Simple example function in Octave [?] plotData.m- Function to display the dataset [?] computeCost.m- Function to compute the cost of linear regression [?] gradientDescent.m- Function to run gradient descent [y] computeCostMulti.m- Cost function for multiple variables [y] gradientDescentMulti.m- Gradient descent for multiple variables [y] featureNormalize.m- Function to normalize features [y] normalEqn.m- Function to compute the normal equations

mlclass-ex5\ex5.m
...........\ex5data1.mat
...........\featureNormalize.m
...........\fmincg.m
...........\learningCurve.m
...........\linearRegCostFunction.m
...........\ml_login_data.mat
...........\plotFit.m
...........\polyFeatures.m
...........\submit.m
...........\submitWeb.m
...........\trainLinearReg.m
...........\validationCurve.m
mlclass-ex5

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