October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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The Iris dataset
It’s time to load the Iris dataset. This is one of the most well-known historical datasets. You will find it in many books and publications. Given the good properties of the data, it is useful for classification and regression examples. The Iris dataset (https://archive.ics.uci.edu/ml/datasets/Iris) contains 50 records for each of the three types of iris, 150 lines in a total over five fields. Each line is a measurement of the following:
- Sepal length in cm
- Sepal width in cm
- Petal length in cm
- Petal width in cm
The final field is the type of flower (setosa, versicolor, or virginica). Let’s use the load_dataset method to create a matrix of values from the dataset:
iris2 = sns.load_dataset('iris')
In order to understand the ...
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