Filling NaNs

[rainmaker29]

48 rows had NaNs in important attributes like Dribbling etc.. which i had to drop for the current prediction.

I used these approaches to fill NaNs :

1. Fill NaNs with similar,related players values.
2. Fill NaNs with Mean of that attribute

Both the above approaches messed up prediction :P