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Sinopsis

"Practical Guide to Machine Learning: Real-World Applications with Python" is your gateway to mastering the most in-demand skill in today's tech landscape. Whether you're a complete beginner or looking to level up your career, this comprehensive guide transforms complex concepts into easy-to-follow, practical knowledge.

Unlock the power of machine learning with hands-on Python projects that solve real business problems. From predictive analytics to natural language processing, you'll build a portfolio of impressive applications while learning from industry-tested examples.

What Sets This Book Apart
Practical Focus

  • Build real-world applications from day one
  • Learn through hands-on projects and case studies
  • Master industry-standard Python libraries and frameworks
Career Advancement
  • Develop skills that command top salaries
  • Create a portfolio of professional projects
  • Learn techniques used by leading tech companies
Comprehensive Coverage
  • Start with fundamentals and progress to advanced concepts
  • Learn data preprocessing, model building, and deployment
  • Master both supervised and unsupervised learning

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CARTER, THOMPSON
Publicado por Independently published, 2024
ISBN 13: 9798303415393
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CARTER, THOMPSON
Publicado por Independently published, 2024
ISBN 13: 9798303415393
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Thompson Carter
Publicado por Independently Published, 2024
ISBN 13: 9798303415393
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Paperback. Condición: new. Paperback. "Practical Guide to Machine Learning: Real-World Applications with Python" is your gateway to mastering the most in-demand skill in today's tech landscape. Whether you're a complete beginner or looking to level up your career, this comprehensive guide transforms complex concepts into easy-to-follow, practical knowledge. Unlock the power of machine learning with hands-on Python projects that solve real business problems. From predictive analytics to natural language processing, you'll build a portfolio of impressive applications while learning from industry-tested examples. What Sets This Book ApartPractical FocusBuild real-world applications from day oneLearn through hands-on projects and case studiesMaster industry-standard Python libraries and frameworksCareer AdvancementDevelop skills that command top salariesCreate a portfolio of professional projectsLearn techniques used by leading tech companiesComprehensive CoverageStart with fundamentals and progress to advanced conceptsLearn data preprocessing, model building, and deploymentMaster both supervised and unsupervised learning Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798303415393

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Thompson Carter
Publicado por Independently Published, 2024
ISBN 13: 9798303415393
Nuevo Paperback

Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: new. Paperback. "Practical Guide to Machine Learning: Real-World Applications with Python" is your gateway to mastering the most in-demand skill in today's tech landscape. Whether you're a complete beginner or looking to level up your career, this comprehensive guide transforms complex concepts into easy-to-follow, practical knowledge. Unlock the power of machine learning with hands-on Python projects that solve real business problems. From predictive analytics to natural language processing, you'll build a portfolio of impressive applications while learning from industry-tested examples. What Sets This Book ApartPractical FocusBuild real-world applications from day oneLearn through hands-on projects and case studiesMaster industry-standard Python libraries and frameworksCareer AdvancementDevelop skills that command top salariesCreate a portfolio of professional projectsLearn techniques used by leading tech companiesComprehensive CoverageStart with fundamentals and progress to advanced conceptsLearn data preprocessing, model building, and deploymentMaster both supervised and unsupervised learning Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798303415393

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