Great video . How do you determine the optimal lambda value for all the columns prior to box cox transformation. Also when would you use box cox over log+1 and vice versa
optimal lambda may vary for different variables, so its hard to find optimal lambda for everyone. I use log1p when data has some 0 values and if it gives me better result compared to box-cox.
Great video . How do you determine the optimal lambda value for all the columns prior to box cox transformation. Also when would you use box cox over log+1 and vice versa
optimal lambda may vary for different variables, so its hard to find optimal lambda for everyone.
I use log1p when data has some 0 values and if it gives me better result compared to box-cox.
How you select the value for the mean and std? Where you want to create the normal distribution of your dataset.
Sir how to use in models? And after model training how to reverse transformation?
can you please share the code?
Thanks