Analyze Customer Reviews with Gemini Using Python Notebooks Reviews

ML A. · Reviewed около 1 года ago

Rezza Mea A. · Reviewed около 1 года ago

Pratik S. · Reviewed около 1 года ago

Kindman G. · Reviewed около 1 года ago

Rahul S. · Reviewed около 1 года ago

12 - NIRMAL G. · Reviewed около 1 года ago

Srikanth B. · Reviewed около 1 года ago

Madhukar G. · Reviewed около 1 года ago

Narayana M. · Reviewed около 1 года ago

good

sutrisno m. · Reviewed около 1 года ago

Indusara Darshana A. · Reviewed около 1 года ago

Utkarsh S. · Reviewed около 1 года ago

Nandi S. · Reviewed около 1 года ago

Prabhat G. · Reviewed около 1 года ago

Prabhat G. · Reviewed около 1 года ago

Prabhat G. · Reviewed около 1 года ago

Senthil K. · Reviewed около 1 года ago

Satyam K. · Reviewed около 1 года ago

Vinayak G. · Reviewed около 1 года ago

Omer B. · Reviewed около 1 года ago

lohau l. · Reviewed около 1 года ago

Abhijit G. · Reviewed около 1 года ago

"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. · Reviewed около 1 года ago

CLOUD S. · Reviewed около 1 года ago

sathvika r. · Reviewed около 1 года ago