SQL Indexing
Knowledge of indexing techniques can significantly enhance query performance, especially when dealing with large datasets. Understanding how to create, use, and optimize indexes can improve the efficiency of SQL queries used in machine learning workflows.
SQL Window functions
Window functions enable advanced analytical queries by allowing to perform calculations across a set of rows related to the current row. Incorporating window functions can facilitate tasks such as ranking, partitioning, and calculating moving averages, which can be useful for feature engineering and data analysis in machine learning.
For further references,
SQL for Machine LearningSQL Window functions
Integrating SQL with machine learning can provide a powerful framework for managing and analyzing data, especially in scenarios where large datasets are involved. By combining the structured querying capabilities of SQL with the analytical and predictive capabilities of machine learning algorithms, you can create robust data pipelines for various tasks, including predictive modeling, classification, clustering, and more.
Table of Content
- Machine Learning with SQL
- Setting Up the Environment
- SQL Basics
- Create Database in SQL
- Tables in SQL
- SQL Queries
- SQL Clauses
- SQL Operators
- SQL FUNCTIONS
- SQL Joining Data
- SQL Views
- SQL Indexing