Agent Platform: Predicting Loan Risk with AutoML Reviews
79851 reviews
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Ataurrahman H. · Reviewed almost 3 years ago
Oscar Alejandro R. · Reviewed almost 3 years ago
Training model took almost 2hours - Instruction says we should be able to download ready model in step 5 - there is no option to do - just bearer token which you can only put to the model which we are waiting for. Either that is missing or advise us just to wait. After finishing just few mins is remaining and deployment takes time too so I could not finish but otherwise would be interesting. On top section 6 says "in this section" which is unclear - as the Shared machine learning service is not seen in the model registry. Unsure if this would show when deployment is done as the time has expired.
Lukáš R. · Reviewed almost 3 years ago
Ataurrahman H. · Reviewed almost 3 years ago
Need more context in step 5 on how to edit INPUT-JSON file...
Anh-Phuong P. · Reviewed almost 3 years ago
Мадияр Д. · Reviewed almost 3 years ago
Koen T. · Reviewed almost 3 years ago
Nicolás C. · Reviewed almost 3 years ago
Richard A. · Reviewed almost 3 years ago
Harika V. · Reviewed almost 3 years ago
The "demonstration only" tasks should not be "demonstration only"
Haris P. · Reviewed almost 3 years ago
Pavlo B. · Reviewed almost 3 years ago
SIVASANKARI K. · Reviewed almost 3 years ago
Padmanabh P. · Reviewed almost 3 years ago
Pablo F. · Reviewed almost 3 years ago
Sujith M. · Reviewed almost 3 years ago
Alessandro S. · Reviewed almost 3 years ago
Panagiotis P. · Reviewed almost 3 years ago
Erik H. · Reviewed almost 3 years ago
Valentina S. · Reviewed almost 3 years ago
Satisfied
Saurabh M. · Reviewed almost 3 years ago
Mehmet D. · Reviewed almost 3 years ago
Pratima K. · Reviewed almost 3 years ago
The dataset should be enough to make the model training time shorter. From that, learner can see the training success and easier to experience model deployment and prediction on the self-trained model.
Vicky H. · Reviewed almost 3 years ago
,,dxcx
Gundu V. · Reviewed almost 3 years ago
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