Suppose you are selling your house and you want to know what a good market price would be. One way to do this is to first collect information on recent houses sold and make a model of housing prices. The file ex1data2.txt contains a training set of housing prices in Portland, Oregon. The first column is the size of the house (in square feet), the second column is the number of bedrooms, and the third column is the price of the house. Find out the model based on the data using linear regression with the Gradient descent method using MATLAB.

ex1data2.txt:

2104,3,399900 1600,3,329900 2400,3,369000 1416,2,232000 3000,4,539900 1985,4,299900 1534,3,314900 1427,3,198999 1380,3,212000 1494,3,242500 1940,4,239999 2000,3,347000 1890,3,329999 4478,5,699900 1268,3,259900 2300,4,449900 1320,2,299900 1236,3,199900 2609,4,499998 3031,4,599000 1767,3,252900 1888,2,255000 1604,3,242900 1962,4,259900 3890,3,573900 1100,3,249900 1458,3,464500 2526,3,469000 2200,3,475000 2637,3,299900 1839,2,349900 1000,1,169900 2040,4,314900 3137,3,579900 1811,4,285900 1437,3,249900 1239,3,229900 2132,4,345000 4215,4,549000 2162,4,287000 1664,2,368500 2238,3,329900 2567,4,314000 1200,3,299000 852,2,179900 1852,4,299900 1203,3,239500