关于“透過 Python 筆記本以 Gemini 分析顧客評論”的评价

Narayana M. · 评论about 1 year之前

good

sutrisno m. · 评论about 1 year之前

Indusara Darshana A. · 评论about 1 year之前

Utkarsh S. · 评论about 1 year之前

Nandi S. · 评论about 1 year之前

Prabhat G. · 评论about 1 year之前

Prabhat G. · 评论about 1 year之前

Prabhat G. · 评论about 1 year之前

Senthil K. · 评论about 1 year之前

Satyam K. · 评论about 1 year之前

Vinayak G. · 评论about 1 year之前

Omer B. · 评论about 1 year之前

lohau l. · 评论about 1 year之前

Abhijit G. · 评论about 1 year之前

"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. · 评论about 1 year之前

CLOUD S. · 评论about 1 year之前

sathvika r. · 评论about 1 year之前

Siddharth G. · 评论about 1 year之前

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. · 评论about 1 year之前

Pratham C. · 评论about 1 year之前

ANUJ R. · 评论about 1 year之前

Claudio C. · 评论about 1 year之前

Piyush J. · 评论about 1 year之前

Bibek C. · 评论about 1 year之前

Riya Y. · 评论about 1 year之前