Feature Scaling

Linear Regression 5 - Other Practical Issues

In the previous articles we have discussed the basic concept of simple linear regression; how to measure the error of the regression model so that we can use the gradient descent method to find the global optimum of the regression problem; develop the multivariate linear regression model for real world problems; and how to choose learning rate and initial values of the weight to start the algorithm. We can try to solve real world problem using linear regression at this point.