Analyze Customer Reviews with Gemini Using SQL avis

S A. · Examiné il y a 3 mois

Adriano D. · Examiné il y a 3 mois

Deval A. · Examiné il y a 3 mois

Anton I. · Examiné il y a 3 mois

Vaishnavi K. · Examiné il y a 3 mois

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

Norbert K. · Examiné il y a 3 mois

Nicholas A. · Examiné il y a 3 mois

Maria S. · Examiné il y a 3 mois

Matthew R. · Examiné il y a 3 mois

Michael P. · Examiné il y a 3 mois

Ekram K. · Examiné il y a 3 mois

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

Christian W. · Examiné il y a 3 mois

Anh-Phong B. · Examiné il y a 3 mois

Vinayak S. · Examiné il y a 3 mois

Issues checking my progress in step 2

Stine S. · Examiné il y a 3 mois

Grzegorz W. · Examiné il y a 3 mois

First page: sentiment is misspelled Task 1: I got an out of date warning on trying to apply IAM.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. · Examiné il y a 3 mois

정종하 m. · Examiné il y a 3 mois

이종찬 j. · Examiné il y a 3 mois

helpful

이세영 w. · Examiné il y a 3 mois

wilson.am 안. · Examiné il y a 3 mois

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. · Examiné il y a 3 mois

雄太郎 小. · Examiné il y a 3 mois

angelo m. · Examiné il y a 3 mois

민근 조. · Examiné il y a 3 mois