Hands-On Data Science and Python Machine Learning
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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
Προϊόν #: 74150840

Hands-On Data Science and Python Machine Learning

85% of respondents would recommend this to a friend

Προϊόν #: 74150840

€ 57

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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.

Λεπτομέρειες προιόντος

Discover a range of hands-on tools for data science and python machine learning at Ubuy Greece 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.

ΠΕΡΙΓΡΑΦΗ ΤΟΥ ΠΡΟΪΟΝΤΟΣ

Hands-On Data Science and Python Machine Learning

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Ερωτήσεις & Απαντήσεις Πελατών

  • ερώτηση: What topics are covered in this book?

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

    απάντηση: 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

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Πλεονεκτήματα

  • Practical approach to learning
  • Well-structured content
  • Great for beginners
  • Comprehensive examples provided

Μειονεκτήματα

  • Some topics could use more depth.

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  • Δεν είναι όλα τα προϊόντα που παρατίθενται στο Ubuy προς πώληση, καθώς το Ubuy είναι μια παγκόσμια μηχανή αναζήτησης. Τα προϊόντα υπόκεινται σε κανονισμούς εξαγωγής/εμπορίου.

€ 57

Παραγγείλτε τώρα και πάρτε το περίπου: Παρασκευή, Οκτώβριος 09

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Fastest cross-border delivery

Χαρακτηριστικά & Πλεονεκτήματα

  • Understand and explore core topics in data science
  • Build and analyze your own machine learning models
  • Learn how to use Apache Spark for processing big data efficiently
  • Clean, prepare, and visualize your data for analysis
  • Train efficient machine learning models using Python
  • Implement popular clustering and regression methods

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