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PranjalDureja0002/model

Created March 2, 2021 14:54
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model
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model
min_max_scaler = preprocessing.MinMaxScaler()
def scale_fun(X_train,X_test,col):
min_max_scaler.fit(X_train[col].values.reshape(-1,1))
X_train_=min_max_scaler.transform(X_train[col].values.reshape(-1,1))
X_test_=min_max_scaler.transform(X_test[col].values.reshape(-1,1))
return X_train_,X_test_
for col in X_train.columns:
X_train_,X_test_= scale_fun(X_train,X_test,col)
X_train[col] = X_train_
X_test[col] = X_test_
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