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.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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 This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798281460163
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
Paperback. Condizione: New. Codice articolo LU-9798281460163
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Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9798281460163_new
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Da: CitiRetail, Stevenage, Regno Unito
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 This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798281460163
Quantità: 1 disponibili
Da: Rarewaves.com UK, London, Regno Unito
Paperback. Condizione: New. Codice articolo LU-9798281460163
Quantità: Più di 20 disponibili