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remove deprecated entries (#34)
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NiloFreitas authored Oct 15, 2024
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16 changes: 0 additions & 16 deletions .ci/index.json
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"url": "https://raw.githubusercontent.com/GoogleCloudPlatform/ai-ml-recipes/main/notebooks/foundational/delta_format/delta_quickstart.ipynb",
"created_at": "04-26-2024"
},
{
"title": "Art translation using Claude",
"description": "This notebook shows how to use BigQuery Dataframes and Anthropic Claude model to translate art descriptions.",
"category": "Generative AI",
"sub_category": "Translation",
"url": "https://raw.githubusercontent.com/googleapis/python-bigquery-dataframes/refs/heads/main/notebooks/generative_ai/bq_dataframes_llm_claude3_museum_art.ipynb",
"created_at": "09-18-2024"
},
{
"title": "Drug name generation",
"description": "This notebook shows how to use BigQuery Dataframes and Gemini to generate drug names.",
"category": "Generative AI",
"sub_category": "Content Generation",
"url": "https://raw.githubusercontent.com/googleapis/python-bigquery-dataframes/refs/heads/main/notebooks/generative_ai/bq_dataframes_ml_drug_name_generation.ipynb",
"created_at": "09-18-2024"
},
{
"title": "Predict penguim weight using linear regression",
"description": "This notebook shows how to use BigQuery Dataframes to train a linear regression model to predict penguim weights.",
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2 changes: 0 additions & 2 deletions README.md
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Expand Up @@ -38,8 +38,6 @@ Please refer to each notebooks folder documentation for more information:
**BigFrames (BigQuery Dataframes)**
* Generative AI
* [Banner advertising understanding](./notebooks/generative_ai/content_generation/banner_advertising_understanding.ipynb)
* [Museum Art Translation Using Claude](https://github.com/googleapis/python-bigquery-dataframes/blob/main/notebooks/generative_ai/bq_dataframes_llm_claude3_museum_art.ipynb)
* [Drug name generation](https://github.com/googleapis/python-bigquery-dataframes/blob/main/notebooks/regression/bq_dataframes_ml_linear_regression.ipynb)
* Regression
* [Predict penguim weight](./notebooks/regression/linear_regression/penguim_weight_prediction.ipynb)

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