hi everyone,
i am studing the machine learning in trading (quantra book)
at page 37 and 38
after the stationary calculation i find "drop the not stationary data from dataset".
wich function i have to use here?
or do i have to remove the not stationary at the beginnig, after import data for example from yahoo finance?
and,
if after the stationary i have to check the correlation
i have to use the data without not stationary or i have to use the completly data?
is it the same if i remove the not stationary and the correlated data togheter in the function
x.drop(columns…)?!
thank you.
Hi Irene,
You can remove the non-stationary columns first using the drop() method, then check the correlation for the remaining columns and finally take care of the highly correlated features.
Hope this helps!
Thanks,
Akshay