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Fitting a simple model: classification

In this exercise, you'll use the iris dataset (representing petal characteristics of a number of flowers) to practice using the scikit-learn API to fit a classification model. You can see a sample plot of the data to the right.

Note: This course assumes some familiarity with Machine Learning and scikit-learn. For an introduction to scikit-learn, we recommend the Supervised Learning with Scikit-Learn and Preprocessing for Machine Learning in Python courses.

This exercise is part of the course

Machine Learning for Time Series Data in Python

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Hands-on interactive exercise

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

# Print the first 5 rows for inspection
print(____)
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