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한국어Feature 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)
- Notebooks de nivel productivo: barreras de protección e integración con Git
· Mirko Peters
¡Bienvenido de nuevo al blog complementario del podcast! En este artículo vamos a profundizar en cómo puedes dejar atrás los scripts improvisados y tratar tus notebooks de Fabric c - 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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- Feed for this topic (RSS): entity/feature-engineering/feed.xml
- Articles on this topic: 3
Maintained by Mirko Peters (Microsoft MVP) · Last updated: