hi Priyanka, You talked about having multiple columns as "series identifier". how do you add 2 columns as "Series Identifier" in Tabular Forecasting? It's a drop down and can't seem to select two columns. Thanks
Hi, Very nice and clear introduction, does vertex AI currently supports Time-Series Classification ? (Meaning instead of forecasting a continuous number, get a category 0/1) Thank's
Forecasting usually involves time do,aim where as house prediction model is just predict house price. Though you could turn the problem in the temporal domain
![End-To-End: No Code - AutoML in Vertex AI for ML Operations [notebook 02a]](http://i.ytimg.com/vi/ZZadMQTKJXk/mqdefault.jpg)
Thanks Priyanka, I will sure try this out with our clients. Thanks for vedio.
hi Priyanka, You talked about having multiple columns as "series identifier". how do you add 2 columns as "Series Identifier" in Tabular Forecasting? It's a drop down and can't seem to select two columns. Thanks
Can you please give the sample data which you have used. Thanks
Hi,
Very nice and clear introduction, does vertex AI currently supports Time-Series Classification ?
(Meaning instead of forecasting a continuous number, get a category 0/1)
Thank's
It is better to use icdst Ai predict lstm model.
I love it ! Bravo !
(i already knew the subject but you made it clearer, thank you for that!)
Glad to hear that!
could someone please explain what we got in evaluated table ? I don't understand why she choose the columns id ds
Thanks for another great video. Can Vertex Forecasting use irregular time series yet?
CAN WE USE IT FOR STOCK MARKET?
6:02 "For the purpose of this demo, I have already done some basic data preprocessing ..." But where's the dataset .csv?
where is the data. can you post a link ?
Thank you 🏆
Hi, yours is a nice presentation. I conceive a model to use AI for court verdicts' analysis. Can you expand my ideas and guide a practical project?
Great one
8:22 MAE : It should be Mean Absolute Error?
how to export data to Looker after training the model of predictive analysis
Thanks Priyanka. quick question though. how is this problem different from house price prediction?
Forecasting usually involves time do,aim where as house prediction model is just predict house price. Though you could turn the problem in the temporal domain
It's great explanation! I enjoyed it a lot. Thanks
1 node hour costs around 20$😅
hey! what's up priyanka!
seriously? are you gonna forecast liquor sales? out of all possible thing that you can predict?!
Priyanka Ma'am please see the dm in LinkedIn sent to you
🤣