Analyze Customer Reviews with Gemini Using SQL Reviews

Adriano D. · Reviewed about 1 month ago

Deval A. · Reviewed about 1 month ago

Anton I. · Reviewed about 1 month ago

Vaishnavi K. · Reviewed about 1 month ago

Great lab. Everything worked. It shows integration of Vertex AI with BQ

Norbert K. · Reviewed about 1 month ago

Nicholas A. · Reviewed about 1 month ago

Maria S. · Reviewed about 1 month ago

Matthew R. · Reviewed about 1 month ago

Michael P. · Reviewed about 1 month ago

Ekram K. · Reviewed about 1 month ago

no problems, cozy cuddling coffee atmosphere, assuming tried to meet, but maybe did not always work

Christian W. · Reviewed about 1 month ago

Anh-Phong B. · Reviewed about 1 month ago

Vinayak S. · Reviewed about 1 month ago

Issues checking my progress in step 2

Stine S. · Reviewed about 2 months ago

Grzegorz W. · Reviewed about 2 months ago

First page: sentiment is misspelled Task 1: I got an out of date warning on trying to apply IAM. Task 3: I'm confused by: The result is the review_images object table is added to the gemini_demo dataset and loaded with the uri (the cloud storage location) of each audio review in the sample dataset. Are these images or audio files? Task 3: Check my progress "Create the dataset, tables and slot reservation in BigQuery." This is the only place slot reservations are mentioned. Task 6: Some typos "appliction" and "notifcation". It's not clear what "the customer's account in the data beans app" means.

Laurie W. · Reviewed about 2 months ago

정종하 m. · Reviewed about 2 months ago

이종찬 j. · Reviewed about 2 months ago

helpful

이세영 w. · Reviewed about 2 months ago

wilson.am 안. · Reviewed about 2 months ago

very interesting topic and well-organized project, it led me through the whole practice and showed me how to do sentiment analysis using Gemini and SQL in BigQuery

Siqi M. · Reviewed about 2 months ago

雄太郎 小. · Reviewed about 2 months ago

angelo m. · Reviewed about 2 months ago

민근 조. · Reviewed about 2 months ago

Dohyeong K. · Reviewed about 2 months ago