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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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

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ISBN 13: 9798281460163
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Rodrigues, Diego; Smart Tech Content, StudioD21
Editore: Independently published, 2025
ISBN 13: 9798281460163
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Studiod21 Smart Tech Content
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ISBN 13: 9798281460163
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Paperback. Condizione: new. Paperback. LEARN Scikit-Learn: Essential Machine Learning for Data ScienceThis 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 environmentsMaster 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 Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798281460163

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Studiod21 Smart Tech Content
Editore: Independently Published, 2025
ISBN 13: 9798281460163
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Da: Grand Eagle Retail, Mason, OH, U.S.A.

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Paperback. Condizione: new. Paperback. LEARN Scikit-Learn: Essential Machine Learning for Data ScienceThis 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 environmentsMaster 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798281460163

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