aniruddha27/NormalizationVsStandarization_2.py

## NormalizationVsStandarization_2.py
# data normalization with sklearn
from sklearn.preprocessing import MinMaxScaler

# fit scaler on training data
norm = MinMaxScaler().fit(X_train)

# transform training data
X_train_norm = norm.transform(X_train)

# transform testing dataabs
X_test_norm = norm.transform(X_test)
	# data normalization with sklearn
	from sklearn.preprocessing import MinMaxScaler

	# fit scaler on training data
	norm = MinMaxScaler().fit(X_train)

	# transform training data
	X_train_norm = norm.transform(X_train)

	# transform testing dataabs
	X_test_norm = norm.transform(X_test)