PYTHON

standardscaler in machine learning

# example of a standardization
from numpy import asarray
from sklearn.preprocessing import StandardScaler
# define data
data = asarray([[100, 0.001],
				[8, 0.05],
				[50, 0.005],
				[88, 0.07],
				[4, 0.1]])
print(data)
# define standard scaler
scaler = StandardScaler()
# transform data
scaled = scaler.fit_transform(data)
print(scaled)

standardscaler

# Preprocessing allows us to standarsize our data
from sklearn import preprocessing
# define standard scaler
scaler = StandardScaler()
# transform data
scaled = scaler.fit_transform(data)