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Automating Feature Engineering In Relational Databases

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Lifecycle of machine learning models - Oracle

www.oracle.com

the dataset. This is known as feature engineering. For example, if you have a traffic dataset for the number of vehicles passing through a major intersection at every hour, you might want to create a new feature categorizing the hour into different parts of the day, such as early morning, mid-morning, early afternoon, late afternoon, and nighttime.

  Oracle, Feature, Model, Engineering, Machine, Learning, Machine learning models, Feature engineering

Foundational Methodology for Data Science

tdwi.org

analytic functionality in relational databases and Apache Hadoop. Text analytics on unstructured or semi-structured data is becoming increasingly important as a way to incorporate sentiment and other useful information from text into predictive models, often leading to significant improvements in model quality and accuracy.

  Database, Relational, In relational databases

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