What topics are covered in this book?

The book covers core topics in data science, machine learning models, Apache Spark for big data processing, data cleaning, data visualization, and more.

Is prior knowledge of Python required to understand this book?

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

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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.

商品＃: 74150840

Hands-On Data Science and Python Machine Learning

85% of respondents would recommend this to a friend

商品＃: 74150840

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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.

產品詳情

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?

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.

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

產品描述

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客戶問題與解答

問題: 如何從 Ubuy 在線購物 Hands-On Data Science and Python Machine Learning？

Answer: 從 Ubuy 在線購物 Hands-On Data Science and Python Machine Learning 非常簡單。. 您只需搜索產品，在結賬時選擇運輸方式，然後將其運送到您所在的位置。
問題: Hands-On Data Science and Python Machine Learning 可以在 Taiwan 在線購物嗎？

Answer: 是的，您可以在 Ubuy Taiwan 以合理的價格購買該產品。. Hands-On Data Science and Python Machine Learning 在本地不可用，但您可以信任我們的快遞服務。
問題: 下訂單後需要多長時間才能收到產品？

Answer: 您訂購的產品的交貨時間根據您訂購的商品和您選擇的運輸方式而有所不同。. 結賬時會提到預計送貨時間，所以購物時請放心。

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

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優點

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

缺點

Some readers may prefer more advanced topics

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特色和優勢

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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Hands-On Data Science and Python Machine Learning