I have tried Box-Cox , exp, log etc but some features are not converting into normal distributions Please suggest me some alternative option ..
As you can see in second and third graph it is not Normal ! but 1st and 4th is normally distributed
I use this equation to convert into Normal form
1/(max(df[fetaure_name] + 1)- df[feature_name])
I have also tried other methods as I mentioned above.
Adding more details : details of second graph :
count 1867.000000 mean 177.746754 std 10.191609 min 170.776654 25% 174.561455 50% 175.982265 75% 178.388291 max 357.000475 mode --> every value is unique