運用 BigQuery ML 建立機器學習模型:挑戰實驗室 Reviews
44350 reviews
Tejal <. · Reviewed 4 days ago
Vaibhav N. · Reviewed 4 days ago
Arcade F. · Reviewed 4 days ago
April W. · Reviewed 5 days ago
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Fabio A. · Reviewed 5 days ago
Kuth jhuth hey hug huuuyyyyyy
Ch S. · Reviewed 5 days ago
Gurudev A. · Reviewed 5 days ago
Sathwik P V S R R. · Reviewed 5 days ago
Tannu S. · Reviewed 5 days ago
sangat puas dan mudah di mengerti, saya jadi paham untuk melatih model di google cloud console BigQuery
Muhammad H. · Reviewed 5 days ago
Kimberly G. · Reviewed 5 days ago
quite strange pass condition - I almost have to copy the exact same content from previous lab to pass the check...
Zexi Y. · Reviewed 5 days ago
Sphatik M. · Reviewed 6 days ago
Vitalii Z. · Reviewed 6 days ago
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. · Reviewed 6 days ago
Hamza A. · Reviewed 6 days ago
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Kishore N. · Reviewed 6 days ago
幸太郎 原. · Reviewed 6 days ago
Caroline M. · Reviewed 6 days ago
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Jagdish S. · Reviewed 7 days ago
Emiliano V. · Reviewed 7 days ago
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