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
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the first 5 rows for inspection
print(____)