1

I want to standardize my dataset to a specific range (5.5,7.5). How can I do this? ı try feature_range parameters,but I could not succeed

Onur Erdoğan
  • 11
  • 1
  • 1
    Have you tried [`MinMaxScaler`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html)? – ForceBru Dec 10 '20 at 14:48
  • #1.adım X = df[['BORC','ALACAK']] from sklearn.model_selection import train_test_split X_train1, X_test1 = train_test_split(X, test_size=0.3) – Onur Erdoğan Dec 10 '20 at 21:28
  • #from sklearn.preprocessing import MinMaxScaler #scaler1 = MinMaxScaler(feature_range=(5.5,6.5)) #scaler2 = MinMaxScaler(feature_range=(5,7.7)) #scaler1.fit(X_train1[0].reshape(-1,1)) #max(scaler1.fit_transform(X_train1)[0]), max(scaler1.fit_transform(X_train1)[0]) I GET 5.5 values, why ? – Onur Erdoğan Dec 10 '20 at 21:29

0 Answers0