Why we use fit_transform() for Training Data but only transform() for Testing Data

When you start working with machine learning pipelines, one of the first things you’ll notice is that we often write code like this: from sklearn.preprocessing import StandardScaler scaler = StandardScaler() # Training set X_train_scaled = scaler...