Analisar avaliações de clientes com o Gemini usando notebooks Python avaliações

Gino C. · Revisado há over 1 year

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Adriano D. · Revisado há over 1 year

Deval A. · Revisado há over 1 year

Really good lab. It shows the integration between BQ and Vertex AI and the convenience of using Jupyter notebooks. I could not get the customer image to display in the last step. The HTML looks good, so maybe there is something wrong with display(HTML(html_string)). I'm using chrome browser on Win 10.

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Felipe Cesar T. · Revisado há over 1 year

this one is stunning!

Yane S. · Revisado há over 1 year

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Grzegorz W. · Revisado há over 1 year

Task 1: Connect appears twice on my page. (Templates were opened when I created the notebook.) Which do I click in "Connect to runtime"? I got even more confused when I opened the connect options instead of just clicking on one of the Connects. Task 7: Apparently "Data Beans" is the name of the company. It's not mentioned until this point and is not capitalized, so I thought "data beans" were some sort of data thing(?). This is not a foolish assumption for other users to make, since "Java Beans" are a programming thing. In Task 7, Creating an application for customer service representatives, the instruction 4. is confusing. It says to add a new line of code, but doesn't say what the line should be until step 5. Similarly, Step 6 starts with "Find the Authenticated URL for the image_7061.png file." and then gives instructions on how to do that. I felt lost at first.

Laurie W. · Revisado há over 1 year

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Martin K. · Revisado há over 1 year