November 2017
Intermediate to advanced
374 pages
10h 19m
English
Content preview from scikit-learn Cookbook , Second Edition - Second Edition
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Getting ready
As before, load the last two features of the iris dataset. Split the data into training and testing sets:
from sklearn import datasetsiris = datasets.load_iris()X = iris.data[:,2:]y = iris.targetfrom sklearn.model_selection import train_test_splitX_train, X_test, y_train, y_test = train_test_split(X, y, stratify = y,random_state = 7)
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.