Analisar avaliações de clientes com o Gemini usando notebooks Python avaliações

Indusara Darshana A. · Revisado há over 1 year

Utkarsh S. · Revisado há over 1 year

Nandi S. · Revisado há over 1 year

Prabhat G. · Revisado há over 1 year

Prabhat G. · Revisado há over 1 year

Prabhat G. · Revisado há over 1 year

Senthil m. · Revisado há over 1 year

Satyam K. · Revisado há over 1 year

Vinayak G. · Revisado há over 1 year

Omer B. · Revisado há over 1 year

lohau l. · Revisado há over 1 year

"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. · Revisado há over 1 year

CLOUD S. · Revisado há over 1 year

sathvika r. · Revisado há over 1 year

Siddharth G. · Revisado há over 1 year

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. · Revisado há over 1 year

Pratham C. · Revisado há over 1 year

ANUJ R. · Revisado há over 1 year

Claudio C. · Revisado há over 1 year

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Prithviraj V. · Revisado há over 1 year

Sumit N. · Revisado há over 1 year