Vertex AI: Predicting Loan Risk with AutoML Reviews

AutoMLvery Nice Features without Datasceintist to Train Model

prakash a. · Reviewed over 1 year ago

Lukáš P. · Reviewed over 1 year ago

Silvya P. · Reviewed over 1 year ago

Noor N. · Reviewed over 1 year ago

I liked this one better than the last. I felt with the limited number of columns, I knew why I was excluding ClientID and keeping the others.

William L. · Reviewed over 1 year ago

Loga Rajeshwaran K. · Reviewed over 1 year ago

I didn't like the demonstration only sections. It would be more interesting if the lab already had some training models ready to allow for more interaction

Gabriel T. · Reviewed over 1 year ago

Musa T. · Reviewed over 1 year ago

Eirik G. · Reviewed over 1 year ago

ERDI Y. · Reviewed over 1 year ago

Rahma E. · Reviewed over 1 year ago

Mahannop T. · Reviewed over 1 year ago

Dinesh A. · Reviewed over 1 year ago

Training the model took a very long time, almost 1h30. Maybe select a use case that trains faster.

Bogdan J. · Reviewed over 1 year ago

KAWANN M. · Reviewed over 1 year ago

Bechir N. · Reviewed over 1 year ago

abed E. · Reviewed over 1 year ago

Barathkanth R. · Reviewed over 1 year ago

Vrushali T. · Reviewed over 1 year ago

Nilesh J. · Reviewed over 1 year ago

That was really great class to understanding the logic under VertexAI and AutoML. But I have one thing to contribute with. On Task 6, that's not clear how to alter INPUT-JSON environment variable on cli. I solved it with Open Editor > Browse > Select project > Find the variable > Update it > Close the editor > export the variables test the service again.

Ozan K. · Reviewed over 1 year ago

Kenza E. · Reviewed over 1 year ago

sumit m. · Reviewed over 1 year ago

Ananta K. · Reviewed over 1 year ago

Srikanth D. · Reviewed over 1 year ago