# Introduction In this lab, we will learn how to use Scikit-Learn's `IterativeImputer` class to impute missing values in a dataset. We will compare different estimators to see which one is best for the `IterativeImputer` when using a `BayesianRidge` estimator on the California housing dataset with a single value randomly removed from each row. ## 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.
Click the virtual machine below to start practicing