# Introduction You may have gotten a good understanding of linear regression. After mastering the $unary$ and $multiple$ forms of linear regression, we can make regression predictions for some data with linear distribution trends. However, there are often data in the life that are not so "linear", such as fluctuations in the stock market, traffic flow etc. How to process this kind of non-linearly distributed data? Methods for the same will be described in this experiment.
Click the virtual machine below to start practicing