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Basic Feature Engineering with DuckDB
In this post, we show how to perform essential machine learning data preprocessing tasks, like missing value imputation, categorical encoding, and feature scaling, directly in DuckDB using SQL. This approach not only simplifies workflows, but also takes advantage of DuckDB’s high-performance, in-process execution engine for fast, efficient data preparation.
ResourcesLambda Functionsduckdb.org
ResourcesLance Extensionduckdb.org
ResourcesVortex Extensionduckdb.org
ResourcesCSV Importduckdb.org
ResourcesJSON Overviewduckdb.org
ResourcesLIMIT and OFFSET Clausesduckdb.org
Products & ServicesDevelopment Roadmapduckdb.org
ResourcesPython APIduckdb.org
ResourcesIceberg Extensionduckdb.org
ResourcesQuack Remote Protocolduckdb.org
ResourcesList Functionsduckdb.org
ResourcesList Functionsduckdb.org
ResourcesList Functionsduckdb.org
ResourcesList Functionsduckdb.org
ResourcesJava JDBC Clientduckdb.org
ResourcesJava JDBC Clientduckdb.org
ResourcesJava JDBC Clientduckdb.org
ResourcesData Importduckdb.org
ResourcesData Importduckdb.org
ResourcesData Importduckdb.org