Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and ... Learning & Data Science for Beginners)
genuine image
Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and ... Learning & Data Science for Beginners)
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.
Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and ... Learning & Data Science for Beginners)
Mahsulot #: 39108996

Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and

Mahsulot #: 39108996

UZS 461342

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from AQSh

Omborda mavjud; sotuvda mavjud
AQSh USA doʻkonidan import qilingan
Hoziroq buyurtma bering va oling Monday, Iyul 27
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
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.
U-Care Kafolat:
Yo'q
Rejani tanlang
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of AQSh store (110-120). Recommended power converters Sotib olish.

What Stands Out

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.

Mahsulot tafsilotlari

Learn Python Machine Learning from scratch with NumPy, Pandas, Matplotlib, Seaborn. Get started with Scikit-learn & TensorFlow. Explore Data Science for Beginners. Shop at Ubuy Oʻzbekiston
  • 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

Who Should Buy?

Suitable For
  • 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.

Not Suitable For
  • Advanced Practitioners

    Not suitable for experienced machine learning professionals looking for advanced techniques, as the content is beginner-focused.

MAHSULOT TAVSIFI

Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and ... Learning & Data Science for Beginners)

Savolingiz bormi? Biz bilan suhbatlashish

Mijozlarning savol-javoblari

  • Savol: What are the prerequisites for learning Python Machine Learning for Beginners?

    Javob: 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.
  • Savol: What topics are covered in this book?

    Javob: 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.
  • Savol: Who is this book intended for?

    Javob: 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.
  • Savol: How can I use this book to build practical projects?

    Javob: 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.
  • Savol: What programming languages are used in this book?

    Javob: 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.
  • Savol: Is there any online support or community for readers?

    Javob: 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.
  • Savol: Are there exercises or projects included in the book?

    Javob: 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.
  • Savol: What makes this book different from other machine learning books?

    Javob: 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.
  • Savol: Can this book help me prepare for a career in data science?

    Javob: 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.
  • Savol: Where can I buy Python Machine Learning for Beginners?

    Javob: You can purchase Python Machine Learning for Beginners from Ubuy in Uzbekistan. 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.

Customer Reviews & Ratings

4.0
1 mijozlar reytingi
  • 5 yulduz
    0%
  • 4 yulduz
    100%
  • 3 yulduz
    0%
  • 2 yulduz
    0%
  • 1 yulduz
    0%

Ushbu mahsulot haqida fikr qoldiring

O‘z fikrlaringizni boshqa mijozlar bilan bo‘lishing

Pros

  • 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

Kamchiliklari

  • A few mistakes in the book

Platform Trust & Buyer Confidence

trustpilot logo
4.3/5 9,000 + reviews
Read reviews
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
Xavfsiz to‘lovni amalga oshirish Global Delivery Easy Returns Genuine Products

Product Price History

Muhim ma‘lumotlar

  • Cheklovlar: xalqaro jo‘natiladigan mahsulotlar uchun quyidagilarga e’tibor bering: ishlab chiqaruvchining kafolati haqiqiy bo‘lmasligi mumkin; ishlab chiqaruvchining xizmat ko‘rsatish imkoniyatlari mavjud bo‘lmasligi mumkin; foydalanish va xavfsizlik bo‘yicha yo‘riqnomalar qabul qiluvchining davlat tilida bo‘lmasligi mumkin; mahsulotlar (va ularga tegishli materiallar) qabul qiluvchining mamlakati standartlari, spetsifikatsiyalari va markirovka talablariga muvofiq ishlab chiqilmasligi mumkin; va mahsulotlar qabul qiluvchining mamlakatida ishlatiladigan kuchlanishga va boshqa elektr standartlariga mos kelmasligi mumkin (adapter yoki konverterdan foydalanish kerak bo‘lishi mumkin). Qabul qiluvchi mahsulotning o‘z mamlakatiga qonuniy ravishda olib kirilishi mumkinligiga ishonch hosil qilishiga javobgardir. Ubuy yoki uning filiallaridan buyurtma berayotganda, qabul qiluvchi mas’ul importchi hisoblanadi va o‘z mamlakatining barcha qonunlari va qoidalariga rioya qilishi shart.
  • Ubuy-da e’lon qilinadigan hamma mahsulotlar ham sotilavermaydi, chunki Ubuy global qidiruv tizimidir. Mahsulotlar eksport/savdo qoidalariga bo‘ysunadi.

UZS 461342

Hoziroq buyurtma bering va oling Monday, Iyul 27

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Xususiyatlar va Afzalliklar

  • 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.