Agent Platform: Predicting Loan Risk with AutoML Reviews

Very satisfied

SNEHA J. · Reviewed over 4 years ago

SNEHA J. · Reviewed over 4 years ago

Mohamed A. · Reviewed over 4 years ago

Michelle L. · Reviewed over 4 years ago

Damji S. · Reviewed over 4 years ago

Amar Luthfi C. · Reviewed over 4 years ago

fantastic

Rajesh S. · Reviewed over 4 years ago

Abhijit M. · Reviewed over 4 years ago

- It was not clear how to edit the input json file - the screenshot at the very end says "if you use Google cloud console the following image..." but not clear how I would get there? After the model training is complete and I dont use the endpoint you provided? If so how would I do it once the model is ready

Mika K. · Reviewed over 4 years ago

Katarzyna Z. · Reviewed over 4 years ago

Nagamanikanta Sai C. · Reviewed over 4 years ago

BANOTH V. · Reviewed over 4 years ago

Tim G. · Reviewed over 4 years ago

Vitaly D. · Reviewed over 4 years ago

Triveni C. · Reviewed over 4 years ago

Christopher U. · Reviewed over 4 years ago

sambangi v. · Reviewed over 4 years ago

Priyashree B. · Reviewed over 4 years ago

Oh J. · Reviewed over 4 years ago

Dennis J. · Reviewed over 4 years ago

Reynir Ö. · Reviewed over 4 years ago

Vikram S. · Reviewed over 4 years ago

Thanks for another fantastic lab. Would like to bring your attention to two items: 1. Typo in Task 3: Veretex AI instead of Vertex AI 2. Task 6: Results after changing the values in INPUT-JSON to ClientID=998, 30 years old, etc predicts that the client will not default (Default:0) with the probability of 0.00001 i.e. client will default which does not align with the course materials. Below is a copy of the output: student_02_8043987b98f0@cloudshell:~ (qwiklabs-gcp-01-3b85131d17be)$ cat INPUT-JSON | jq . { "endpointId": "1411183591831896064", "instance": "[{age: 30, ClientID: '998', income: 50000.00, loan: 20000.00}]" } student_02_8043987b98f0@cloudshell:~ (qwiklabs-gcp-01-3b85131d17be)$ ./smlproxy tabular -a $AUTH_TOKEN -e $ENDPOINT -d $INPUT_DATA_FILE SML Tabular HTTP Response: 2022/03/20 06:04:52 {"model_class":"0","model_score":1.0322887E-5} Cheers.

Hoe Kit C. · Reviewed over 4 years ago

Allen C. · Reviewed over 4 years ago

Murat O. · Reviewed over 4 years ago