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Google Dataset Search

As explained in Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

A search service that indexes dataset descriptions across online repositories and helps users locate source datasets.

Google Dataset Search helps locate external datasets when suitable data is unavailable internally or when a project requires experimentation with a new model. section 2.3.2

Use the search results to assess candidate datasets before retrieval:

  • Search for a topic such as credit scoring data. section 2.3.2
  • Filter results by recency, format, license, cost, and category. section 2.3.2

Credit-scoring project

A team without comparable internal data can search for external credit-scoring datasets, then use a selected dataset to build a model from scratch. section 2.3.2

How Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI covers it

How deep it goes
Explains searching, filtering, and following repository links, but stops short of dataset acquisition or quality analysis.
Examples
Uses a credit-scoring search and displays dataset results with descriptions, filters, and links to source data.
What you can do after
Apply it via Google Dataset Search to locate and screen candidate datasets for a modeling project.
How it connects
Connects open data portals, dataset repositories, credit scoring, licensing, and machine-learning projects.
Cover of Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI. The section links point to the parts of the book it draws on.