In this notebook, we will walk through how to perform linear regression using gradient descent. The goal for this example is to predict what the profit for a new food truck might be given the population of the city. The input data to our model will be the population of a city, and the output data of our model will be the predicted profit. Since this is a 2-D linear regression model, the classic equation of the line (y = m * x + b) will be our model.