Linear Regression, Gradient Descent, Machine Learning, Data Science, Getting Started.
way of computing line of best fit: In gradient descent, you start with a random line. Then you change the parameters of the line (i.e. slope and y-intercept) little by little to arrive at the line of best fit. How do you know when you arrived at the line of best fit? For every line you try — line