关于“通过 BigQuery ML 创建机器学习模型：实验室挑战赛”的评价

Vaibhav N. · 已于 4 days前审核

Arcade F. · 已于 4 days前审核

April W. · 已于 5 days前审核

Raghavan V. · 已于 5 days前审核

Fabio A. · 已于 5 days前审核

Kuth jhuth hey hug huuuyyyyyy

Ch S. · 已于 5 days前审核

Gurudev A. · 已于 5 days前审核

Sathwik P V S R R. · 已于 5 days前审核

Tannu S. · 已于 5 days前审核

sangat puas dan mudah di mengerti, saya jadi paham untuk melatih model di google cloud console BigQuery

Muhammad H. · 已于 5 days前审核

Kimberly G. · 已于 5 days前审核

quite strange pass condition - I almost have to copy the exact same content from previous lab to pass the check...

Zexi Y. · 已于 5 days前审核

Sphatik M. · 已于 6 days前审核

Vitalii Z. · 已于 6 days前审核

I am extremely frustrated with the validation script for "Task 3: Improve model performance with Feature Engineering." I have successfully created the improved_customer_classification_model using all required features (checkout progress via action_type, traffic source, device category, and country). I have also successfully evaluated the model using ML.EVALUATE on the out-of-sample data (20170501 to 20170630), confirming a higher roc_auc compared to the original model. Despite following every technical requirement perfectly and achieving the intended outcome, the "Check my progress" button consistently fails. The validation is far too brittle and does not account for standard SQL variations or proper model evaluation workflows. It is wasting learners' time by forcing them to guess a specific, undocumented syntax rather than focusing on the machine learning concepts. Project ID: qwiklabs-gcp-02-c13aad2d45cb Task: Task 3 (Feature Engineering & Evaluation)

Salvatore R. · 已于 6 days前审核

Hamza A. · 已于 6 days前审核

Duc An V. · 已于 6 days前审核

Kishore N. · 已于 6 days前审核

幸太郎 原. · 已于 6 days前审核

Caroline M. · 已于 6 days前审核

Rathnakar P. · 已于 7 days前审核

Kazutaka Y. · 已于 7 days前审核

Jagdish S. · 已于 7 days前审核

Emiliano V. · 已于 7 days前审核

Rinkesh S. · 已于 7 days前审核