Linear Regression, Gradient Descent, Machine Learning, Data Science, Getting Started.
values), or (63.5, 63.33) 63.33 = 1.2*63.5 + b b = -12.87 Therefore, the regression line as calculated using correlation coefficient and standard deviations is approximately: y = 1.2x - 12.87 Regression line using statistics is y = 1.2x -12.87 Now, let’s dig into gradient descent. Gradient descent