Agent Platform: Predicting Loan Risk with AutoML Reviews

patty s. · Reviewed over 4 years ago

Sravan Kumar S. · Reviewed over 4 years ago

Ahmed B. · Reviewed over 4 years ago

shubhra k. · Reviewed over 4 years ago

Indra P. · Reviewed over 4 years ago

Kyrylo P. · Reviewed over 4 years ago

Yudha C. · Reviewed over 4 years ago

Mustafa B. · Reviewed over 4 years ago

MARCELO H. · Reviewed over 4 years ago

Justin T. · Reviewed over 4 years ago

Aurélien D. · Reviewed over 4 years ago

Raghunath S. · Reviewed over 4 years ago

Anmol B. · Reviewed over 4 years ago

Ashish J. · Reviewed over 4 years ago

Jamaica J. · Reviewed over 4 years ago

Rahul S. · Reviewed over 4 years ago

David Z. · Reviewed over 4 years ago

hwee yuan n. · Reviewed over 4 years ago

Zhengwei N. · Reviewed over 4 years ago

Wei Y. · Reviewed over 4 years ago

Sri R. · Reviewed over 4 years ago

very complicated without a good demonstration of how to use ML portion. specially the cloud shell part is confusing

Sepehr E. · Reviewed over 4 years ago

Gerado G. · Reviewed over 4 years ago

I think this lab had a lot of potential. A few ways it could be improved: 1. You could've made it such that the solution converges quickly (early stopping is already enabled, it's quite easy to set up training data such that convergence happens right away). 2. The use of a binary client to invoke the model to predict the results robs the learner of an opportunity to learn how this would be used in the real world. I would've written a simple python program that shows them how to invoke the api (no code editing), and let them specify features interactively. Cloud shell is nice, love that you're using tmux over there. 3. Minor point: the file that you're having the learner download has a tar.gz extension, but it's actually not gzipped. Thank you! -Pritam

Pritam D. · Reviewed over 4 years ago

Muhammad S. · Reviewed over 4 years ago