@all I have one doubt about missing value. suppose in my model I have variable with missing value. to resolve this issue I have filled data with mean values. Now this model is predicting live data and suppose input has missing value, should I need to pre-process this like I did with training set? and what will happen/impact if I do not do this?
@harshitrathod sorry, I've never setup a workspace Google Cloud. And median sounds better as @ErMochi has mentioned because it is more stable, especially when you're getting more data. I would caution that your predictions are only as good as your data. And if you're essentially imputing missing data, I'd be mindful of how you interpret your results.