Abstract
The use of SQL with the help of machine learning allows achieving better results in data analysis by integrating the obligatory data management which takes place in the course of SQL and the possibility of making predictive analytics with the help of machine learning. It makes data pipelines more straightforward by enabling data preprocessing, designing, and evaluation on SQL data structures. These are in-database machine learning, SQL connection to external libraries, stored procedures and Cloud platform services. Such approaches supply scalable, secure along with efficient predictive analysis which accelerate complicated data processing.
Keywords
Structured Query Language, Analytical models, predictive models, analytics
Citations
IRE Journals:
Sai Krishna Shiramshetty
"Integrating SQL with Machine Learning for Predictive Insights" Iconic Research And Engineering Journals Volume 1 Issue 10 2018 Page 287-292
IEEE:
Sai Krishna Shiramshetty
"Integrating SQL with Machine Learning for Predictive Insights" Iconic Research And Engineering Journals, 1(10)
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