May 2020
Intermediate to advanced
404 pages
10h 52m
English
Content preview from Hands-On Python Deep Learning for the Web
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Step 4 – Performing scaling on the features
As you might have observed in the sample of the dataset in the preceding step, the values in the training columns are not in a common or comparable range. We will be performing scaling on the columns to bring them to a uniform range distribution, as shown:
from sklearn.preprocessing import StandardScalerX = StandardScaler().fit_transform(X)
The target is in the range of 0 to 1 and so does not require scaling.
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