Hands-On Data Science and Python Machine Learning
Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models.
Hands-On Data Science and Python Machine Learning
Nº de artículo: 74150840

Hands-On Data Science and Python Machine Learning

Nº de artículo: 74150840

PYG 494974

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Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models.
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What Stands Out

Practical Learning
Hands-on projects enhance understanding of data science concepts, ensuring learners can directly apply Python machine learning techniques in real-world scenarios.
Comprehensive Curriculum
Covers essential data science topics and machine learning algorithms, making it suitable for both beginners and experienced practitioners looking to deepen their skills.
Expert Insights
Authored by industry professionals, providing valuable insights and best practices that enrich the learning experience and prepare learners for real industry challenges.

Detalles de producto

Discover a range of hands-on tools for data science and python machine learning at Ubuy Paraguay with a wide selection of products.
  • Learn the tools and techniques of data analysis and machine learning in Python
  • Explore topics such as Bayesian methods and K-means clustering in a beginner-friendly way
  • Understand how to clean and prepare data for analysis
  • Implement popular regression and clustering methods in Python
  • Visualize data analysis results using Matplotlib library
  • Learn to perform machine learning on large datasets using Apache Spark
Publisher Packt Publishing
Publication date July 31, 2017
Language English
Print length 420 pages
ISBN-10 9781787280748
ISBN-13 978-1787280748
Item Weight 1.58 pounds (720 grams)
Dimensions 7.5 x 0.95 x 9.25 inches (19.1 x 2.4 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for individuals looking to start a career in data science with practical Python applications.

  • Developers Transitioning

    Useful for software developers who want to shift their focus toward machine learning and data analysis.

  • Students in Tech

    Beneficial for students aiming to enhance their programming and analytical skills in a hands-on approach.

Not Suitable For
  • Absolute Beginners

    Not suitable for those with no prior knowledge of programming or data science concepts.

DESCRIPCIÓN DEL PRODUCTO

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Preguntas y respuestas de los clientes

  • Pregunta: What topics are covered in this book?

    Respuesta: The book covers core topics in data science, machine learning models, Apache Spark for big data processing, data cleaning, data visualization, and more.
  • Pregunta: Is prior knowledge of Python required to understand this book?

    Respuesta: It is recommended to have some basic knowledge of Python, as the book focuses on implementing machine learning models using Python.

Data Modeling & Design Editorial Review

Hands-On Data Science and Python Machine Learning offers a comprehensive guide for aspiring data scientists. This book, published by Packt Publishing, spans 420 pages and dives deep into practical applications of machine learning using Python. Readers appreciate its clear explanations and real-world examples, making complex concepts accessible. The book emphasizes the importance of hands-on experience, allowing readers to effectively grasp data science principles. Additionally, with a publication date of July 31, 2017, it provides relevant insights into the evolving field of machine learning, catering to those eager to learn the latest methodologies.

Customer Reviews & Ratings

14 valoraciones de los clientes
  • 5 estrella
    57%
  • 4 estrella
    25%
  • 3 estrella
    0%
  • 2 estrella
    0%
  • 1 estrella
    18%

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ventajas

  • Comprehensive hands-on approach to data science
  • Clear explanations of complex concepts
  • Real-world examples enhance understanding
  • Widely praised by readers for its accessibility
  • Well-structured content for learners

Contras

  • Some readers may prefer more advanced topics

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