Create ML Models with BigQuery ML: Challenge Lab Reviews

Patrick J. · Reviewed 8 days ago

Srijan M. · Reviewed 8 days ago

Srijan M. · Reviewed 8 days ago

Christian O. · Reviewed 8 days ago

Brian shahputera s. · Reviewed 8 days ago

I had to use my head a little bit and I got a good feel of how I can use sql(BigQuery) to evaluate ML models on a dataset. I see that it can get very complex very fast. Thanks for keeping it simple. The lab has a nice UI and just the right amount of complexitity to test the system.

웅비 최. · Reviewed 8 days ago

Kalman T. · Reviewed 9 days ago

I found Task 4 of this lab to be misleading and frustrating. The instructions explicitly state that I need to "predict the average trip duration for all trips from the busiest bike sharing station in 2019 (based on the number of trips per station in 2019)." Based on these instructions, I wrote queries to: Calculate the busiest station in 2019 based on trip count Use that station to make predictions with the subscriber_type model Filter for Single Trip subscribers and 2019 data Calculate the average predicted duration However, the verification system would only accept a query that used a hardcoded station name '21st & Speedway @PCL', which is never mentioned anywhere in the instructions. This is problematic because: The instructions specifically tell us to base our solution on 2019 trip counts There's no indication we should use a pre-defined station The verification system contradicts the written instructions Students waste time trying to debug technically correct solutions A better approach would be to either: a) Update the instructions to specify using '21st & Speedway @PCL' if that's the required solution b) Or modify the verification system to accept solutions that correctly calculate and use the actual busiest station from 2019 data This discrepancy between instructions and verification criteria creates unnecessary confusion and doesn't reflect real-world data analysis practices where we would actually want to calculate the busiest station rather than assuming it.

Anshul K. · Reviewed 9 days ago

Boone H. · Reviewed 9 days ago

Mouwiya A. · Reviewed 9 days ago

Shubham U. · Reviewed 9 days ago

Francesca P. · Reviewed 9 days ago

Terrell D L. · Reviewed 9 days ago

Rohit K. · Reviewed 9 days ago

Jeyaraj B. · Reviewed 9 days ago

Miguel Angel H. · Reviewed 9 days ago

Juyoung P. · Reviewed 10 days ago

SARA L. · Reviewed 10 days ago

The different revision of this that I just got is much better

Daniel M. · Reviewed 10 days ago

impossible

Eduardo M. · Reviewed 10 days ago

Rudrani .. · Reviewed 10 days ago

Gregorio N. · Reviewed 10 days ago

Iyad M. · Reviewed 10 days ago

Gregorio N. · Reviewed 10 days ago

Efran L. · Reviewed 10 days ago