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Anotace knihy

LEARN Scikit-Learn: Essential Machine Learning for Data Science

This book is the key to mastering Scikit-Learn and building market-ready Machine Learning projects. Ideal for professionals and students who seek fast, direct, and applicable results. Learn high-impact techniques, design intelligent solutions, and boost your career in data science.

Includes:
• Quick setup of a productive environment with Python and Scikit-Learn
• Data preprocessing and full pipeline automation
• Fine-tuning models with cross-validation and hyperparameters
• Practical application of regression, classification, and clustering
• Model deployment integrated with Big Data and MLOps environments

Master the most widely used algorithms in the market and accelerate your entry into data science projects with Scikit-Learn.

scikit-learn, machine learning, data science, smart pipelines, model automation, cross-validation, machine learning deployment, big data integration, mlops, spark

Parametry knihy

• Plný název: LEARN Scikit-Learn
• Podnázev: Essential Machine Learning for Data Science
• Autor: StudioD21 Smart Tech Content, Diego Rodrigues
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 198
• EAN: 9798281460163
• ID: 50669168
• Nakladatelství: Independently published
• Hmotnost: 274 g
• Rozměry: 229 × 152 × 11 mm
• Datum vydání: 25. April 2025

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