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Training a model

In the video, you learned how to train a model using scikit learn. In this exercise, you will demonstrate your new skills by training a support vector classifier (SVC) model on the heart disease dataset. Your job is to split the data into training and testing portions, define the necessary model with the correct parameters, and train it on the split data. The heart disease data features and target have been imported as heart_disease_X and heart_disease_y, respectively.

This exercise is part of the course

End-to-End Machine Learning

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import required modules
from ____.____ import ____
from ____.____ import ____
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