Skip to content

Instantly share code, notes, and snippets.

@purva91
Created September 9, 2019 12:52
Show Gist options
  • Save purva91/5f1e1c7e7fe997b15dac6d523f620c66 to your computer and use it in GitHub Desktop.
Save purva91/5f1e1c7e7fe997b15dac6d523f620c66 to your computer and use it in GitHub Desktop.
from sklearn.preprocessing import StandardScaler
ss = StandardScaler()
data_df = ss.fit_transform(data_df)
#Divide into training and test data
X_train, X_test, y_train, y_test = train_test_split(x, y, test_size = 0.3) # 70% training and 30% test
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment