- Pagina inicial /
- Livros /
- Computadores e Tecnologia /
- Databases & Big Data /
- Data Modeling & Design /
- Python Machine Learning for Beginners: Learni...
0 ratings
Número do item:
39108996
Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and
Número do item:
39108996
R$ 224
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from Estados Unidos
0 ratings
Escreva uma avaliação
Em estoque
Importado de loja dos USA
Peça agora e receba por volta de Sunday, Julho 26
Transação Segura
A Ubuy trabalha para proteger sua segurança e privacidade. Nosso sistema avançado de segurança de pagamentos garante a confidencialidade ao criptografar suas informações durante a transmissão usando os protocolos AES (Advanced Encryption Standards) e SSL (Secure Socket Layer). Seus dados de pagamento estão 100% seguros, pois não compartilhamos suas informações com vendedores terceiros.
Nossos principais parceiros logísticos
Python Machine Learning for Beginners presents you with a hands-on approach to learn ML fast. You will find that the emphasis on the theoretical aspects of machine learning is equal to the emphasis on the practical aspects of the subject matter.
Envio
rápido
Devolução
gratúita*
Embalagem segura
Produtos 100% originais
Conformidade com PCI DSS
Certificado ISO 27001
Destaques do Produto
Comprehensive Toolkit
Covers essential libraries like NumPy and Pandas, providing a solid foundation in Python machine learning for beginners, ensuring they can handle diverse data science tasks effectively.
Hands-On Learning
Includes practical examples and projects using Matplotlib and Seaborn for visualization, enabling learners to apply concepts and reinforce their understanding through real-world data manipulation.
Advanced Techniques
Teaches cutting-edge frameworks like TensorFlow and Scikit-learn, allowing beginners to explore machine learning models and deep learning applications, equipping them with skills to tackle modern AI challenges.
Detalhes do produto
- Hands-on approach to learn Python Machine Learning from scratch
- Emphasis on practical aspects and theoretical framework of machine learning techniques
- Includes data analysis, data visualization, and statistical models for data science
- Provides access to related learning materials like references, PDFs, Python codes, and exercises
- Covers Python programming, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and TensorFlow for ML
- Topics include regression, classification, clustering, deep learning, and dimensionality reduction
| Publisher | AI Publishing LLC |
| Publication date | October 23, 2020 |
| Language | English |
| Print length | 304 pages |
| ISBN-10 | 1734790156 |
| ISBN-13 | 978-1734790153 |
| Item Weight | 14.6 ounces (413.91 grams) |
| Dimensions | 6 x 0.69 x 9 inches (15.2 x 1.8 x 22.9 cm) |
| Part of series | Machine Learning & Data Science for Beginners |
Para quem é indicado?
-
Aspiring Data Scientists
Ideal for those starting a career in data science, providing foundational skills in Python and machine learning frameworks.
-
Students and Educators
Perfect for academic settings, facilitating learning with practical examples and real-world applications of machine learning concepts.
-
Beginner Programmers
Great for new programmers seeking to enhance their data manipulation and analysis skills using popular Python libraries.
-
Advanced Practitioners
Not suitable for experienced machine learning professionals looking for advanced techniques, as the content is beginner-focused.
DESCRIÇÃO DO PRODUTO
Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and ... Learning & Data Science for Beginners)
Tem alguma dúvida? Fale conosco pelo chat
Perguntas e Respostas do cliente
-
pergunta:
What are the prerequisites for learning Python Machine Learning for Beginners?
responda: To effectively learn Python Machine Learning for Beginners, you should have a basic understanding of Python programming. Familiarity with programming concepts such as variables, loops, and functions will be beneficial. Additionally, some knowledge of statistics and linear algebra can enhance your learning experience as they are foundational for understanding machine learning algorithms. This book guides you through essential libraries like NumPy and Pandas, making it easier to grasp concepts, even if you're starting from scratch. -
pergunta:
What topics are covered in this book?
responda: This book covers a comprehensive range of topics important for beginner machine learning enthusiasts. You will learn about data manipulation with NumPy and Pandas, data visualization using Matplotlib and Seaborn, and machine learning algorithms using Scikit-learn and TensorFlow. Each section focuses on practical applications to help you understand how these tools work together in real-world scenarios, ultimately building a solid foundation in machine learning concepts. -
pergunta:
Who is this book intended for?
responda: Python Machine Learning for Beginners is designed for individuals who are new to programming and data science. Whether you are a student, a professional looking to switch careers, or simply someone interested in exploring machine learning, this book offers a structured introduction. By starting with the basics and gradually introducing more complex topics, it paves the way for anyone to become proficient in machine learning. -
pergunta:
How can I use this book to build practical projects?
responda: You can leverage the content of this book to create various practical projects by applying the concepts you learn to real datasets. For instance, you can develop predictive models, analyze trends, and visualize data insights using libraries covered in the book. The hands-on tutorials provide clear examples, enabling you to experiment and implement your own machine learning projects. This practical approach aids in reinforcing the skills you acquire. -
pergunta:
What programming languages are used in this book?
responda: This book primarily uses Python as the programming language for teaching machine learning concepts. Python's simplicity and versatility make it the most widely used language in data science and machine learning. You'll learn how to utilize critical libraries such as NumPy, Pandas, and TensorFlow, which are integral to building and deploying machine learning models. The focus on Python allows you to solidify your programming skills in a relevant context. -
pergunta:
Is there any online support or community for readers?
responda: While the book itself serves as a comprehensive guide, you may also find community support through online forums such as Stack Overflow or specialized data science groups. Engaging with fellow learners can enhance your understanding, as you can share insights, ask questions, and collaborate on projects. Many readers often discuss challenges and solutions on platforms like GitHub or Reddit, where you can find a wealth of resources. -
pergunta:
Are there exercises or projects included in the book?
responda: Yes, the book includes exercises and projects that are essential for reinforcing your learning. Each chapter concludes with practical assignments that challenge you to apply the concepts you've learned. These exercises can range from data analysis tasks to building simple machine learning models, ensuring that you gain hands-on experience, which is crucial for mastering the material and gaining confidence in your skills. -
pergunta:
What makes this book different from other machine learning books?
responda: What sets this book apart from others is its beginner-friendly approach that emphasizes hands-on learning through practical examples. It systematically introduces machine learning concepts while minimizing jargon, making it accessible even for those without a technical background. Unlike many technical books, it offers a clear progression from basic to advanced topics, enabling learners to develop their skills organically, making it an invaluable resource for aspiring data scientists. -
pergunta:
Can this book help me prepare for a career in data science?
responda: Absolutely! This book equips you with the foundational skills required for a successful career in data science. By learning how to manipulate data, visualize trends, and apply machine learning algorithms, you prepare yourself for practical challenges you will face in the field. Completing the projects and exercises also helps build a portfolio, which can be advantageous when applying for data science roles. -
pergunta:
Where can I buy Python Machine Learning for Beginners?
responda: You can purchase Python Machine Learning for Beginners from Ubuy in Brazil. Ubuy offers a convenient platform to find this book along with various resources that can enhance your learning experience. By choosing Ubuy, you can explore additional tools and related materials that complement the book, allowing you to dive deeper into the world of machine learning.
Data Modeling & Design Editorial Review
Python Machine Learning for Beginners is a hands-on guide to learning machine learning from scratch using Python, with a focus on practical application rather than theory. The book covers essential Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and Tensorflow, and teaches how to use them for data analysis, visualization, and machine learning. Reviewers found the book ideal for beginners and late beginners/early intermediates of Python and machine learning. Some critics pointed out a few mistakes in the book and complained that certain concepts were not explained well or not at all. However, they found the code easy to follow and appreciated the author's code-focused approach. The book offers a great deal of context and useful tools for solving different machine learning problems. The deep learning chapter is especially well explained, according to reviewers, and offers an excellent overview of various techniques such as ANN, CNN, RNN, and LSTM. The book's publication quality is also praised, although reviewers note that the black and white print edition may be less than optimal for some sections that require color graphs and data. However, the author provides a link to download the color version in PDF format for free. Reviewers found the writing style of the book easy to follow, with step-by-step instructions and working exercises. Some critics noted that the book lacks clear instructions on where to find some datasets used in the examples, but customer support was responsive and helpful in providing the necessary links. Overall, reviewers recommend the book for anyone looking to learn machine learning using Python from scratch.
Comentários e avaliações dos clientes
1 Avaliações dos clientes
-
5 Estrela
0%
-
4 Estrela
100%
-
3 Estrela
0%
-
2 Estrela
0%
-
1 Estrela
0%
Avalie este produto
Compartilhe sua opinião com outros clientes
Prós
- Hands-on guide to learning machine learning from scratch using Python
- Covers essential Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and Tensorflow
- Code-focused approach with working code examples
- Offers a great deal of context and useful tools for solving different machine learning problems
- Clear writing style with step-by-step instructions and working exercises
- Deep learning chapter offers an excellent overview of various techniques such as ANN, CNN, RNN, and LSTM
Contras
- A few mistakes in the book
Platform Trust & Buyer Confidence
MT
Mohd
Verified buyer
“The product received very good packaging & safe…Thank You”
16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer
“Accurate delivery timing given”
16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer
“Not madly expensive like I thought, and much quicker than promised.”
15 June 2026 · via Trustpilot
LM
Leila
Verified buyer
“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”
6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer
“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
12 June 2026 · via Trustpilot
Finaliar de forma segura
Global Delivery
Devoluções Fáceis
Genuine Products
Histórico de preço do produto
Informações importantes
- Limitações: para envios internacionais de produtos, observe que qualquer garantia do fabricante pode não ser válida; as opções de serviço do fabricante podem não estar disponíveis; manuais, instruções e avisos de segurança do produto podem não estar no idioma do país de destino; os produtos (e os materiais que os acompanham) podem não ser projetados de acordo com os padrões, especificações e requisitos de rotulagem do país de destino; e os produtos podem não estar em conformidade com a voltagem do país de destino e outros padrões elétricos (exigindo o uso de um adaptador ou conversor, se apropriado). O destinatário é responsável por garantir que o produto possa ser importado legalmente para o país de destino. Ao fazer o pedido no Ubuy ou em suas afiliadas, o destinatário é o importador do registro e deve cumprir todas as leis e regulamentos do país de destino.
- Nem todos os produtos listados no Ubuy estão à venda, pois o Ubuy é um mecanismo de busca global. Os produtos estão sujeitos às regulamentações de exportação/comércio.
R$ 224
Peça agora e receba por volta de Sunday, Julho 26
Este item não é restrito no meu país. (Por favor clique no link acima se este item não for restrito em seu país para análise por parte da nossa equipe e permissão de envio).
QTY:
Transação Segura
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Nossos principais parceiros logísticos
A entrega internacional mais rápida
Características e benefícios
- Learn ML and AI quickly.
- Practical applications of ML are driving business results in numerous industries.
- Emphasis on both theoretical and practical aspects.
- Access to Python codes, datasets, and learning material at no extra cost.
- Topics include data analysis, visualization, regression problems, classification problems, data clustering, Tensorflow, PCA and LDA.
- Suitable for beginners, with a short course on Python programming included.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.