Ambiguous suggestion

M7. Evaluating model performance M7. Wrap-up quiz 7
#1

Dear colleagues,

In the begining of the task it is suggested to clip acceleration column.

In addition, we can limit ourself to positive acceleration only by clipping to 0 the negative acceleration values (they would correspond to some power created by the braking that we are not modeling here).

From the description I understand that samples with acceleration > 0 it is not required to include in the training set (because it is not required for the task). Therefore I use mask data["acceleration"] > 0 to filter such data and gave the wrong answer.

But then in the answer of Q1 you show that you apply pandas.DataFrame.clip() for the dataset…

Therefore I would suggest to correct the description as:

In addition, we can limit ourself to positive acceleration only by clipping to 0 by pandas.DataFrame.clip()…

#2

Hi PvPDantes,
Let me give you my point of view.
As I understood the question say to make 0 de negative values of acceleration. Your suggestion to include clip() function in the statement, would make easier to follow instruction for those who are not familiar with handling data, but there are different way to make 0 de negative values (np.where()).
regards
bryson_je