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Preview
Before we can write a classifier, we need something to classify. That is, we need a dataset.
Resources
- Iris flower dataset | Wikipedia
- load_iris() | scikit-learn Documentation
- Treehouse Workshop: Introducing Text Editors
- Which Text Editor Should I Use? | Treehouse Blog
- A Beginner’s Guide To The Windows Command Line
Python Code
from sklearn.datasets import load_iris
iris = load_iris()
print(list(iris.target_names))
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One of the most classic data sets in all
of machine learning is the Iris data set
0:00
which is a set of 150 examples
of three different types of
0:03
Iris flowers, the Satosa,
Versicolor and Virginica.
0:08
In fact, the iris flower data set
even has its own Wikipedia page,
0:14
to which you can find a link in
the notes associated with this video.
0:19
The Iris flower data set is like
the Hello World program of data sets.
0:23
It's not meant to be used in practical
applications, but it's good for testing
0:29
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