Machine Learning, Gradient Descent, Feature Scaling, Data Preprocessing, Beginners Guide.
3.0 3 2000 3.0 4 1940 4.0 # Separate the features (X) and the target variable (y) X = data.drop('price', axis=1) y = data['price'] Next, we’ll initialize the MinMaxScaler object and perform feature scaling on the numerical features: # Initialize the MinMaxScaler scaler = MinMaxScaler() # Select the