关于“使用 Python 笔记本通过 Gemini 分析客户评价”的评价

Narayana M. · 已于 about 1 year前审核

good

sutrisno m. · 已于 about 1 year前审核

Indusara Darshana A. · 已于 about 1 year前审核

Utkarsh S. · 已于 about 1 year前审核

Nandi S. · 已于 about 1 year前审核

Prabhat G. · 已于 about 1 year前审核

Prabhat G. · 已于 about 1 year前审核

Prabhat G. · 已于 about 1 year前审核

Senthil K. · 已于 about 1 year前审核

Satyam K. · 已于 about 1 year前审核

Vinayak G. · 已于 about 1 year前审核

Omer B. · 已于 about 1 year前审核

lohau l. · 已于 about 1 year前审核

Abhijit G. · 已于 about 1 year前审核

"Create a Python notebook in BigQuery using Colab Enterprise. Create a Cloud Resource connection in BigQuery. Create the dataset and tables in BigQuery. Create the Gemini remote models in BigQuery. Prompt Gemini to analyze keywords and setiment (positive, or negative) for text based customer reviews. Generate a report with a count of positive, and negative reviews. Respond to customer reviews at scale. Create an application for customer service representatives to respond to audio based customer reviews."

Rehma I. · 已于 about 1 year前审核

CLOUD S. · 已于 about 1 year前审核

sathvika r. · 已于 about 1 year前审核

Siddharth G. · 已于 about 1 year前审核

just the connect alone already took more than 10 minutes to connect and the instructions didn't state which connect button as there's 2 connect buttons with top and bottom.

Wei Loon T. · 已于 about 1 year前审核

Pratham C. · 已于 about 1 year前审核

ANUJ R. · 已于 about 1 year前审核

Claudio C. · 已于 about 1 year前审核

Piyush J. · 已于 about 1 year前审核

Bibek C. · 已于 about 1 year前审核

Riya Y. · 已于 about 1 year前审核