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coursera-ml-007-exercises/ex1
2014-10-02 22:48:53 +02:00
..
.gitignore .gitignore login data 2014-10-01 22:06:15 +02:00
computeCost.m Compute Cost (for one variable) 2014-10-01 22:05:13 +02:00
computeCostMulti.m Compute cost for multiple variables 2014-10-02 22:32:56 +02:00
ex1.m import exercise 1: IV. Linear Regression with Multiple Variables (Week 2) 2014-09-30 22:24:33 +02:00
ex1.pdf import exercise 1: IV. Linear Regression with Multiple Variables (Week 2) 2014-09-30 22:24:33 +02:00
ex1_multi.m import exercise 1: IV. Linear Regression with Multiple Variables (Week 2) 2014-09-30 22:24:33 +02:00
ex1data1.txt import exercise 1: IV. Linear Regression with Multiple Variables (Week 2) 2014-09-30 22:24:33 +02:00
ex1data2.txt import exercise 1: IV. Linear Regression with Multiple Variables (Week 2) 2014-09-30 22:24:33 +02:00
featureNormalize.m Normalize features 2014-10-02 22:20:44 +02:00
gradientDescent.m Print out the cost function J 2014-10-02 22:08:08 +02:00
gradientDescentMulti.m Gradient descent for multiple features 2014-10-02 22:33:18 +02:00
normalEqn.m Linear regressing using the normal equation 2014-10-02 22:48:53 +02:00
plotData.m Plot the data 2014-09-30 22:25:32 +02:00
submit.m import exercise 1: IV. Linear Regression with Multiple Variables (Week 2) 2014-09-30 22:24:33 +02:00
submitWeb.m import exercise 1: IV. Linear Regression with Multiple Variables (Week 2) 2014-09-30 22:24:33 +02:00
warmUpExercise.m Warmup exercise 2014-09-30 22:25:18 +02:00