Heads up! To view this whole video, sign in with your Courses account or enroll in your free 7-day trial. Sign In Enroll
Start a free Courses trial
to watch this video
A classifier looks at a piece of data and tries to categorize it. In this video, we'll use scikit-learn to write a classifier using the dataset we loaded previously.
Resources
Python Code
from sklearn.datasets import load_iris
iris = load_iris()
print(list(iris.target_names))
from sklearn import tree
classifier = tree.DecisionTreeClassifier()
classifier = classifier.fit(iris.data, iris.target)
print(classifier.predict([[5.1,3.5,1.4,1.5]]))
Related Discussions
Have questions about this video? Start a discussion with the community and Treehouse staff.
Sign upRelated Discussions
Have questions about this video? Start a discussion with the community and Treehouse staff.
Sign up
You need to sign up for Treehouse in order to download course files.
Sign upYou need to sign up for Treehouse in order to set up Workspace
Sign up