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- 2x 2x
- 1.75x 1.75x
- 1.5x 1.5x
- 1.25x 1.25x
- 1.1x 1.1x
- 1x 1x
- 0.75x 0.75x
- 0.5x 0.5x
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]]))
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