Feature engineering
Concept
Feature engineering is the process of transforming raw data into input variables (features) for machine learning models, for example through cleaning, aggregation and encoding.
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Articles about Feature engineering (3)
- Промышленные ноутбуки: ограничения и интеграция с Git
· Mirko Peters
Добро пожаловать обратно в блог-компаньон подкаста! В этой статье мы подробно разберём, как перейти от разовых скриптов к тому, чтобы относиться к вашим ноутбукам Fabric как к пром - Accelerating Data Science Workflows with Azure Open Datasets
· Mirko Peters
Welcome back to the podcast companion blog! As data scientists and analytics engineers, we spend an astronomical amount of our valuable time tracking down, cleaning… - Production-Grade Notebooks: Guardrails and Git Integration
· Mirko Peters
Welcome back to the podcast companion blog! In this post, we are diving deep into how you can move beyond ad-hoc scripting by treating your Fabric notebooks like pr…
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Maintained by Mirko Peters (Microsoft MVP) · Last updated: