LEARN Scikit-Learn: Essential Machine Learning for Data Science (AI and Machine Learning ENG)

StudioD21 Smart Tech Content, Diego Rodrigues

ISBN 13: 9798281460163

Editore: Independently published, 2025

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Codice articolo LU-9798281460163

Dati bibliografici

• Titolo: LEARN Scikit-Learn: Essential Machine Learning for Data Science (AI and Machine Learning ENG)
• Editore: Independently published
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798281460163
• Rilegatura: Paperback
• Condizione: New
• Dimensioni: 15,24 L x 1,19 A x 22,86 P centimetri 15,24 centimetri di larghezza per 1,19 centimetri di altezza per 22,86 centimetri di profondità
• Peso: 286 grammi

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Riassunto

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