Scaling, Normalization, Min Max.
from sklearn.preprocessing import RobustScaler from sklearn.model_selection import train_test_split data = pd.read_csv("your_data.csv") X = data[["feature1", "feature2", ...]] # Select numerical features y = data["target"] # Assuming you have a target variable X_train, X_test, y_train, y_test =