Machine Learning, Gradient Descent, Feature Scaling, Data Preprocessing, Beginners Guide.
numerical features for scaling numerical_features = ['sqft_living', 'bedrooms'] # Scale the numerical features X[numerical_features] = scaler.fit_transform(X[numerical_features]) In this example, we’re using the MinMaxScaler, which scales the features to a specified range (by default, between 0 and