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MinMaxScaler

Heba Mohamed answered on June 3, 2023 Popularity 9/10 Helpfulness 4/10

answer MinMaxScaler

related how to use minmaxscaler

MinMaxScaler

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from sklearn import preprocessing
min_max_scaler = preprocessing.MinMaxScaler()
v = foo[:,1]
v_scaled = min_max_scaler.fit_transform(v)
foo[:,1] = v_scaled
print(foo)

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Contributed on Jun 03 2023

Heba Mohamed

0 Answers Avg Quality 2/10

Closely Related Answers

how to use minmaxscaler

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# import module
from sklearn.preprocessing import MinMaxScaler
 
# create data
data = [[11, 2], [3, 7], [0, 10], [11, 8]]
 
# scale features
scaler = MinMaxScaler()
model=scaler.fit(data)
scaled_data=model.transform(data)
 
# print scaled features
print(scaled_data)

Popularity 3/10 Helpfulness 1/10 Language whatever

Source: www.geeksforgeeks.org

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