python-scikit-learnNormalize data example

from sklearn import preprocessing
data = [1,2,3,4,5,6,6,6,3,4,2,4]

norm = preprocessing.normalize([data])ctrl + cgithub

`from sklearn import` import module from scikit-learn	`data` list of values to normalize
`.normalize(` scales given values to unit norm

from sklearn import preprocessing
data = [1,2,3,4,5,6,6,6,3,4,2,4]

norm = preprocessing.normalize([data])

print(norm)

[[0.06933752 0.13867505 0.20801257 0.2773501  0.34668762 0.41602515
  0.41602515 0.41602515 0.20801257 0.2773501  0.13867505 0.2773501 ]]