Linear Regression
Inputs: The training data contain some example measurements of the profit gained by opening an outlet in the cities with the population ranging between 30,000 and 100,000. The y-values are the profit measured in USD, and the x-values are the populations of the city. Each city population and profit tuple constitutes one training example in training dataset.
Problem: Use training dataset to develop a linear regression model and solve it by using gradient descent algorithm. Find the values of Theta0, Theta1 , and cost function J in the first two iterations.Show all calculation steps
Initialization: Theta0=0, Theta1=0. Alpha=0.01
City Population (10^4)x | Profit (10^4) y |
6.4862 | 6.5987 |
5.5277 | 9.1302 |
8.5186 | 13.662 |
7.0032 | 11.854 |
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