Testing Kaggle forum ideas
Unfortunately, not all the Forum posts and Kernels are necessarily useful for your model. So instead of blindly incorporating ideas into your pipeline, you should test them first.
You're given a function get_cv_score(), which takes a train dataset as an argument and returns the overall validation root mean squared error over 3-fold cross-validation. The train DataFrame is already available in your workspace.
You should try different suggestions from the Kaggle Forum and check whether they improve your validation score.
This exercise is part of the course
Winning a Kaggle Competition in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Drop passenger_count column
new_train_1 = train.____('____', axis=1)
# Compare validation scores
initial_score = get_cv_score(train)
new_score = get_cv_score(new_train_1)
print('Initial score is {} and the new score is {}'.format(initial_score, new_score))