from sklearn.preprocessing import StandardScaler
std = StandardScaler()
data = std.fit_transform([[156, 56, 34, 800000], [180, 73, 21, 620000], [
    175, 76, 18, 1000000], [148, 46, 26, 430000]])
print(data)

4b9cfc92bcee1b9c5b77a2b2d1dec399e4328eb4
<mask token>

<mask token>
print(data)

<mask token>
std = StandardScaler()
data = std.fit_transform([[156, 56, 34, 800000], [180, 73, 21, 620000], [
    175, 76, 18, 1000000], [148, 46, 26, 430000]])
print(data)

from sklearn.preprocessing import StandardScaler
std = StandardScaler()
data = std.fit_transform([[156, 56, 34, 800000], [180, 73, 21, 620000], [
    175, 76, 18, 1000000], [148, 46, 26, 430000]])
print(data)
