Sorry I'm new to machine learning and statistics.

For time series predictions, do you use RNN or something? For example, the past 2 years' sales of a product.

TBH Im pretty much unfamiliar with how statisticians deal with time series data.

I'm dealing with some time series problems and I'm not sure if I should put all my trust on RNN or some other DL models.

What do you think of the RNN models? I mean if it works fine then I dont have to research on other models

Sorry I'm unable to provide the specific data here, don't know if it will cause vagueness. But the sales data is definitely a topic of interest.


1 Answer 1


Choosing which model to use depends on your goal and the data you have. Experimenting with different models is always a good idea. I assume you are trying to predict sales based on previous sales. In this case, RNN will probably do the job. I strongly suggest researching the LSTM layer - once you read about it and its results you will understand why I strongly suggest it. If you do not have time to experiment with different models, I suggest at least experimenting with different features. You can try including/excluding features that you have available.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.