Skip to content

Instantly share code, notes, and snippets.

@kumar-abhishek
Created January 12, 2020 05:10
Show Gist options
  • Save kumar-abhishek/2eebe58dd1a3e2cdd3ad584102a259d0 to your computer and use it in GitHub Desktop.
Save kumar-abhishek/2eebe58dd1a3e2cdd3ad584102a259d0 to your computer and use it in GitHub Desktop.
Standardizing the data set
scaler = MinMaxScaler(feature_range=(0, 1))
dataXScaler = scaler.fit_transform(dataX)
dataYScaler = scaler.fit_transform(dataY)
print(dataXScaler[0:5])
print(dataYScaler[0:5])
>>>
[[0.44444444 0.77777778 1. 0.88235294]
[0.44444444 0.77777778 1. 0.88235294]
[0.44444444 0.77777778 1. 0.88235294]
[0.44444444 0.77777778 1. 0.88235294]
[0.55555556 0.77777778 0.41666667 0.70588235]]
[[0.44444444 0.77777778 1. 0.88235294]
[0.44444444 0.77777778 1. 0.88235294]
[0.44444444 0.77777778 1. 0.88235294]
[0.55555556 0.77777778 0.41666667 0.70588235]
[0.55555556 0.77777778 0.41666667 0.70588235]]
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment