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Nº de artículo:
211362015
Python for Data Science and Machine Learning: Essential Tools for Working with Data
Nº de artículo:
211362015
GTQ 139
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Python for Data Science and Machine Learning is the ultimate guide to mastering the essential tools needed for a career in data science and machine learning.
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What Stands Out
Comprehensive Coverage
This course offers an in-depth exploration of Python's libraries used in data science and machine learning, equipping learners with essential tools to analyze and visualize data effectively.
Practical Applications
Focuses on hands-on projects, allowing participants to apply concepts in real-world scenarios, thereby reinforcing learning and enhancing problem-solving skills relevant to data-driven industries.
Expert Guidance
Led by industry professionals, the course provides insights and best practices essential for success in data science, ensuring learners gain valuable knowledge directly applicable to their careers.
Detalles de producto
- Python for Data Science and Machine Learning: Essential Tools for Working with Data is the ultimate guide to mastering the essential tools needed for a career in data science and machine learning. This book provides a comprehensive introduction to the core concepts and practical techniques required to work with data, including data cleaning, visualization, and analysis, as well as machine learning algorithms such as regression, classification, clustering, and deep learning. With hands-on examples and step-by-step guidance, this book is perfect for beginners and experienced programmers alike. Whether you're looking to kickstart your career in data science or expand your existing skills, Python for Data Science and Machine Learning is the go-to resource for building a solid foundation in this exciting field. Get your copy today and start your journey toward becoming a data science expert!
| Publisher | Independently published |
| Publication date | March 26, 2023 |
| Language | English |
| Print length | 189 pages |
| ISBN-13 | 979-8388654380 |
| Item Weight | 9.3 ounces (263.66 grams) |
| Dimensions | 6 x 0.43 x 9 inches (15.2 x 1.1 x 22.9 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for those seeking foundational knowledge in data science and machine learning using Python effectively.
-
Beginner Programmers
Great for individuals with basic programming skills wanting to expand into data analytics and machine learning.
-
Professionals Upskilling
Perfect for professionals looking to enhance their skills in data science and enter the machine learning field.
-
Advanced Users
Not suitable for experienced data scientists as it may lack depth in advanced algorithms and techniques.
-
Non-Technical Users
Individuals without a programming background may struggle to grasp concepts presented in the book effectively.
-
Casual Learners
Those seeking a light introduction to data concepts may find this book too technical and dense.
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Preguntas y respuestas de los clientes
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Pregunta:
Is this book suitable for beginners?
Respuesta: Yes, it is perfect for beginners and experienced programmers alike. -
Pregunta:
What topics does the book cover?
Respuesta: It covers data cleaning, visualization, analysis, and machine learning algorithms. -
Pregunta:
How can this book help my career in data science?
Respuesta: It provides the essential tools and techniques needed to build a solid foundation in data science.
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GTQ 139
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características y beneficios
- Comprehensive introduction to data science and machine learning tools.
- Includes data cleaning, visualization, analysis, and machine learning algorithms.
- Hands-on examples for practical learning.
- Suitable for both beginners and experienced programmers.
- Perfect resource to kickstart or expand your career in data science.
- Start your journey toward becoming a data science expert today!
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