# Introduction In this lab, we will compare the performance of two regression models, HuberRegressor and Ridge, on a dataset with strong outliers. We will generate a toy dataset, add strong outliers to it, and then fit both models to the dataset. We will visualize the results and compare the performance of the models. ## 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.
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