Criar modelos de ML com o BigQuery ML: laboratório com desafio avaliações

Ulu Kagan B. · Revisado há over 1 year

Rupali P. · Revisado há over 1 year

Siddhartha G. · Revisado há over 1 year

Thangaraj S. · Revisado há over 1 year

Nigel Malino N. · Revisado há over 1 year

Sandy W. · Revisado há over 1 year

FRANCISCO JAVIER S. · Revisado há over 1 year

Narayana V. · Revisado há over 1 year

Andre G. · Revisado há over 1 year

Edgar D. · Revisado há over 1 year

damien c. · Revisado há over 1 year

Patricia M. · Revisado há over 1 year

good

Samrat N. · Revisado há over 1 year

Caio G. · Revisado há over 1 year

Patrick J. · Revisado há over 1 year

Srijan M. · Revisado há over 1 year

Srijan M. · Revisado há over 1 year

Christian O. · Revisado há over 1 year

Brian shahputera s. · Revisado há over 1 year

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. · Revisado há over 1 year

Kalman T. · Revisado há over 1 year

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. · Revisado há over 1 year

Boone H. · Revisado há over 1 year

Mouwiya A. · Revisado há over 1 year

Shubham U. · Revisado há over 1 year