This section will appear Under Learn tab page
Next we are importing ML model libraries to perform model computation e.g.
1) sklearn.model_selection: to split arrays or matrices into random train and test subsets
2) sklearn.linear_model import LinearRegression: Imports the Linear Regression model
3) sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error: Imports metrics for evaluating regression models
This section will appear Under Python tab page
# import model libraries
from sklearn.model_selection import train_test_split # Used to split arrays or matrices into random train and test subsets
from sklearn.linear_model import LinearRegression # Imports the Linear Regression model
from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error # Imports metrics for evaluating regression models
print (“The libraries are imported”)