3D Linear Regression Using Gradient Descent Implementation

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 good market price should be for your home given previous data for the price based on size (square footage) and the number of bedrooms. The input data to our model will be the size of a home and the number of bedrooms, and the output data of our model will be a good market price. Since this is a 3-D linear regression model, the equation of the 3-D line (z = b + a * x + b * y) will be our model.