Question 27
You have a regression problem to solve with following information:
1. All features are numerical.
2. The dataset has size of 40 GB.
3. The data has to be preprocessed.
4. After data preprocessing, train the model with gradient descent or its variations.
Which of the following will perform the above task?
Perform one hot encoding followed by training with LinearRegression model (from sklearn.linear_model).
Perform standard scaling followed by training with KNeighborsRegressor model (from sklearn.neighbors).
Perform min-max scaling followed by training with DecisionTreeRegressor model (from sklearn.tree).
Perform min-max scaling followed by training with SGDRegressor model (from sklearn.linear_model).