# Introduction In this lab, we will learn how to use Recursive Feature Elimination (RFE) for feature selection. We will be using the Scikit-Learn library in Python to perform this task. Feature selection is an important step in machine learning to improve model performance by removing irrelevant or redundant features. ## 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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