# Introduction In this lab, we will use Logistic Regression Classifier to classify the first two features of Iris dataset based on their labels. We will use scikit-learn library to load and preprocess the dataset, create an instance of Logistic Regression Classifier, and fit the data. Finally, we will display the decision boundaries on the scatter plot. ## 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