Databricks

What is the next event where they will give a voucher?

I'm trying the Data Engineering professional exam at the end of the month. It's like a shot in the dark because no practice exams stop are available and from what I've seen online from people who already passed it, the Advanced Data Engineering with ...

Hi @John B​ Hope everything is going great.Just wanted to check in if you were able to resolve your issue. If yes, would you be happy to mark an answer as best so that other members can find the solution more quickly? If not, please tell us so we can...

Very informativeThanks for sharing!

Very confident, go ahead. :D​

Hi @Sri H​ ! I am checking on this for you - hang tight! I'll try and get an update asap from the Academy Team.

For the first question ("which option is better?"), you need to answer that via your understanding of the problem domain.Do you expect similar behavior across the groups (items)?If so, that's a +1 in favor of sharing hyperparameters. And vice versa....

It depends on what you mean by "automagically."If you want to keep using scikit-learn, there are ways to distribute parts of training and tuning with minimal effort. However, there is no "magic" way to distribute training an individual model in scik...

Normalization typically means rescales the values into a range of [0,1]. Standardization typically means rescales data to have a mean of 0 and a standard deviation of 1 (unit variance).A link which explains better is - https://towardsdatascience.com...