Skip to content

Instantly share code, notes, and snippets.

@StephenFordham
Created September 9, 2020 15:27
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save StephenFordham/2942bed74ba528ae99ac438ee16f72e0 to your computer and use it in GitHub Desktop.
Save StephenFordham/2942bed74ba528ae99ac438ee16f72e0 to your computer and use it in GitHub Desktop.
scaling
from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler()
X = scaler.fit_transform(df_feat)
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=101)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment