Engineer Data for Predictive Modeling with BigQuery ML: チャレンジラボ のレビュー

After many attempts, finished Task1 and Task2. Taske-Time out. Atlast, finished all tasks

Raghavendran Brindha · 9日前にレビュー済み

hard

VAN KELST BAPTISTE · 9日前にレビュー済み

After many attempts, finished Task1 and Task2. Taske-Time out.

Raghavendran Brindha · 9日前にレビュー済み

Yadav Tushita · 9日前にレビュー済み

Pérez Cecilia · 9日前にレビュー済み

Viana Thiago · 9日前にレビュー済み

Singh Harry · 9日前にレビュー済み

Mallikarjun Jiragi Ashwed · 9日前にレビュー済み

MOHAMED ISLEM SID EL MRABET · 9日前にレビュー済み

chaturvedi vartika · 9日前にレビュー済み

BENLAHCEN Soufiane · 9日前にレビュー済み

Chapman James · 9日前にレビュー済み

chaturvedi vartika · 9日前にレビュー済み

Marson Cezar · 9日前にレビュー済み

So Julie · 9日前にレビュー済み

DURAN CAYETANO IRENE · 9日前にレビュー済み

1. dataprep requires too many allows/accepts/continues. 2. dataprep can't cast datetime to timestamp 3. dataprep always recognize a column that is calculated from two float columns to a string type.

Shi Yi · 9日前にレビュー済み

Kumar Vivek · 9日前にレビュー済み

I was able to complete this lab using BQ. The trickiest part of it is when the RMSE doesn't get accepted, under task 2. I've noted on our class forums that this appears to be the case when pickup_datetime is a datetime column rather than timestamp. However, all of my "*_datetime" columns were timestamp type in this lab, and I was successful. Task 3 should have a note: "allow the ML.PREDICT method to name the forecasted variable". I failed when I renamed the forecasted variable.

Loscheider Jeremy · 9日前にレビュー済み

Reddell Jenna · 9日前にレビュー済み

Instructions not clear. Tasks not covered in training.

Rivera Chavarría Jorge Eduardo · 9日前にレビュー済み

Lahoti Sacchin · 9日前にレビュー済み

Kurapati Naveen Raj · 10日前にレビュー済み

Salman Aymen · 10日前にレビュー済み

Apolinar Fernando · 10日前にレビュー済み