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Hands-On Data Science and Python Machine Learning
85% of respondents would recommend this to a friend
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
Detalles de producto
- 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?
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Aspiring Data Scientists
Ideal for individuals looking to start a career in data science with practical Python applications.
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Developers Transitioning
Useful for software developers who want to shift their focus toward machine learning and data analysis.
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Students in Tech
Beneficial for students aiming to enhance their programming and analytical skills in a hands-on approach.
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Absolute Beginners
Not suitable for those with no prior knowledge of programming or data science concepts.
DESCRIPCIÓN DEL PRODUCTO
Preguntas y respuestas de los clientes
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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
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5 estrella
57%
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4 estrella
25%
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3 estrella
0%
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2 estrella
0%
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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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PYG 494974
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características y beneficios
- 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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