Machine Learning, Gradient Descent, Linear Regression, Python, Optimization.
created is known as linear regression model. At this point, you might have noticed that all the data points do not lie perfectly over the regression line. So, there might be some difference between the predicted value and the actual value. We call this difference as error(or cost). In machine