关于“Engineer Data for Predictive Modeling with BigQuery ML: Challenge Lab”的评价
评论
I increased my MSE < 100 but step 2 is not passing!
jer g. · 评论8 days之前
After many attempts, finished Task1 and Task2. Taske-Time out. Atlast, finished all tasks
Brindha R. · 评论9 days之前
hard
BAPTISTE V. · 评论9 days之前
After many attempts, finished Task1 and Task2. Taske-Time out.
Brindha R. · 评论9 days之前
Tushita Y. · 评论9 days之前
Cecilia P. · 评论9 days之前
Thiago V. · 评论9 days之前
Harry S. · 评论9 days之前
Ashwed M. · 评论9 days之前
SID EL MRABET M. · 评论9 days之前
vartika c. · 评论9 days之前
Soufiane B. · 评论9 days之前
James C. · 评论9 days之前
vartika c. · 评论9 days之前
Cezar M. · 评论9 days之前
Julie S. · 评论9 days之前
IRENE D. · 评论9 days之前
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.
Yi S. · 评论9 days之前
Vivek K. · 评论9 days之前
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.
Jeremy L. · 评论9 days之前
Jenna R. · 评论9 days之前
Instructions not clear. Tasks not covered in training.
Jorge Eduardo R. · 评论9 days之前
Sacchin L. · 评论9 days之前
Naveen Raj K. · 评论10 days之前
Aymen S. · 评论10 days之前
我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。