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.
Polynomial Regression
VM Tips
After the VM startup is done, click the top left corner to switch to the Notebook tab to access Jupyter Notebook for practice.
Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook.
If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
Summary
Congratulations! You have completed the Polynomial Regression. You can practice more labs in LabEx to improve your skills.
