Tree ensembles Optional Lab

I am curious and eager to learn about how we can perform feature selection and hyperparameter tuning in the code below of this paragraph. Can anyone guide me through this so that can I gain more practical knowledge and make this model better. Thanks!

Regards,
Ahmad Fareed Khan

Is this not explained in the lecture videos, i think it is explained how to make feature selections and hyperparameters tuning.

Other than that in Kaggle they do have examples of solved competitions doing something similar to what you are asking, I saw sometime ago. Check them out…