Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
genuine image
Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
Hands-on Scikit-Learn for Machine Learning Applications is an excellent starting point for those pursuing a career in machine learning.
Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
Numéro d'article: 38597813

Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python

85% des répondants recommanderaient ceci à un ami

Numéro d'article: 38597813

MUR 2813

Détails du prix

Hors frais de livraison et de douane ( Les frais de livraison et de douane seront calculés lors du paiement )

*Tous les articles seront importés depuis États-Unis

En stock
États-Unis Importé depuis la boutique USA

QTY:

Commandez maintenant et recevez votre commande aux alentours du Vendredi, Octobre 09
Transaction sécuriséeTransaction sécurisée

Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Hands-on Scikit-Learn for Machine Learning Applications is an excellent starting point for those pursuing a career in machine learning.
Garantie U-Care :
Aucun
Sélectionnez un forfait
fast shipping

Livraison
rapide

free return

Retour
gratuit*

Emballage sécurisé

Emballage sécurisé

Produits 100 % originaux

Produits 100 % originaux

pci-dss

Conformité PCI DSS

iso certified

Certifié ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of États-Unis store (110-120). Recommended power converters Acheter maintenant.

Ce qui se démarque

Practical Applications
Offers hands-on projects that apply machine learning concepts, allowing readers to practice and solidify their understanding of Scikit-Learn for real-world data science scenarios.
Accessible Learning
Designed for beginners and intermediate users, the book simplifies complex topics, making machine learning accessible and easier to grasp for those with foundational Python skills.
Comprehensive Coverage
Covers a wide range of machine learning techniques using Scikit-Learn, providing readers with a robust toolkit for tackling various data science challenges effectively.

Détails du produit

Shop Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python online at a best price in Mauritius. 1484253728
Publisher Apress
Publication date November 18, 2019
Edition First Edition
Language English
Print length 255 pages
ISBN-10 1484253728
ISBN-13 978-1484253724
Item Weight 1 pounds (450 grams)
Dimensions 7.01 x 0.58 x 10 inches (17.8 x 1.5 x 25.4 cm)

À qui est-ce destiné ?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners seeking to learn practical machine learning using Python and Scikit-Learn for real-world projects.

  • Python Developers

    Great for software developers wanting to expand their skillset into data science and machine learning applications.

  • Academic Instructors

    Useful for educators needing a hands-on approach to teach machine learning concepts effectively to students.

Not Suitable For
  • Advanced Experts

    Not suitable for experienced practitioners seeking advanced theories or specialized machine learning techniques beyond basics.

DESCRIPTION DU PRODUIT

Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What is the primary focus of 'Hands-on Scikit-Learn for Machine Learning Applications'?

    répondre: The primary focus of this book is to provide an in-depth understanding of machine learning using the Scikit-Learn library in Python. It covers essential data science fundamentals, guiding readers through various machine learning algorithms and techniques. The book uses practical examples to illustrate complex concepts, making it suitable for beginners and experienced practitioners alike. Through hands-on projects, readers learn how to implement machine learning applications in real-world scenarios, enhancing their skills in data analysis, predictive modeling, and algorithm selection.
  • question: Who is the ideal audience for this book?

    répondre: The ideal audience for 'Hands-on Scikit-Learn for Machine Learning Applications' includes aspiring data scientists, software developers, and professionals looking to enhance their proficiency in machine learning. Whether you're a student or a seasoned expert looking to deepen your understanding, this book provides valuable insights and practical skills. It helps bridge the gap between theoretical knowledge and practical application, making it accessible for anyone eager to leverage machine learning in various industries, such as finance, healthcare, and marketing.
  • question: What programming skills do I need to effectively use this book?

    répondre: To effectively use 'Hands-on Scikit-Learn for Machine Learning Applications', a basic understanding of Python programming is essential. Familiarity with data structures and programming concepts will aid your learning experience. The book assumes you have some level of coding proficiency, helping you quickly grasp the examples and exercises provided. With its code snippets, readers can experiment directly with Scikit-Learn, allowing for a practical approach to learning. If you're new to Python, consider reviewing introductory resources before diving into the book.
  • question: What topics are covered in this book?

    répondre: This book covers a wide range of topics related to machine learning and data science. Key areas include data preprocessing, classification, regression, clustering, and model evaluation techniques. Additionally, it discusses feature selection and dimensionality reduction, providing a comprehensive toolkit for tackling different machine learning problems. The practical applications and case studies throughout the book enable readers to implement these techniques creatively, applicable to sectors like e-commerce and healthcare, where data-driven decisions are pivotal.
  • question: What are the benefits of using Scikit-Learn for machine learning?

    répondre: Using Scikit-Learn for machine learning offers several benefits. This library is user-friendly and well-documented, making it an excellent choice for both beginners and experts. Its modular design allows users to effortlessly switch between different algorithms while maintaining a consistent interface. Furthermore, it integrates seamlessly with other scientific libraries in Python like NumPy and pandas, enhancing its functionality. Scikit-Learn's efficiency and flexibility make it a top choice for building data-driven solutions in various real-world applications, from predictive analytics to customer segmentation.
  • question: Is prior experience in data science required to read this book?

    répondre: No prior experience in data science is required to read 'Hands-on Scikit-Learn for Machine Learning Applications.' The book begins with foundational concepts, progressively guiding readers through more complex topics. It is designed to cater to individuals with different backgrounds, including those new to data science and machine learning. Each chapter includes practical examples to solidify understanding, ensuring readers can follow along regardless of their initial expertise level. This approachable method encourages readers to build confidence in their skills as they learn.
  • question: Can this book help me prepare for a career in data science?

    répondre: Absolutely! 'Hands-on Scikit-Learn for Machine Learning Applications' is an excellent resource for those preparing for a career in data science. By covering crucial machine learning concepts and providing practical applications, readers can develop a robust skill set. The book's hands-on approach offers opportunities to work on real-world projects, which is invaluable for building a portfolio that showcases your capabilities to potential employers. Mastering machine learning techniques laid out in this book will undoubtedly enhance your employability in the growing data science field.
  • question: What are the main machine learning algorithms discussed in the book?

    répondre: The book delves into several key machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and k-means clustering. Each algorithm is presented with clear explanations and practical implementations using Scikit-Learn. Readers learn about the strengths and weaknesses of these algorithms, allowing them to make informed choices based on their specific data science project requirements. By the end of the book, readers will have a solid understanding of when and how to apply these techniques appropriately.
  • question: Are there any online resources provided alongside the book?

    répondre: Yes, accompanying online resources are typically available alongside 'Hands-on Scikit-Learn for Machine Learning Applications.' These resources may include supplementary materials such as datasets, code examples, and additional exercises to enhance the learning experience. Access to these online materials enables readers to practice their skills and experiment with different models, solidifying their understanding further. Engaging with these resources can be particularly beneficial for collaborative learning or seeking help from the community as you progress through the book.
  • question: Where can I buy 'Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python First Edition' in Mauritius?

    répondre: You can conveniently buy 'Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python First Edition' on Ubuy, a reliable online shopping platform. Ubuy offers a wide selection of books and educational materials, including this title, making it easy for you to enhance your knowledge in machine learning. With Ubuy, you can enjoy a seamless shopping experience tailored to your preferences in Mauritius.

Intelligence & Semantics Editorial Review

**** "Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python" emerges as a beneficial resource for both novice and intermediate machine learning enthusiasts. Reviewers have highlighted the book's friendly accessibility and straightforward approach to explaining complex concepts. Several chapters utilize standard Python datasets to provide multiple examples, elucidating the coding processes effectively. The clear and easy-to-follow step-by-step instructions have been particularly praised, making it an excellent aid for those new to machine learning who seek an insightful glimpse into various algorithms. However, the feedback is not universally positive. Some customers expressed frustration regarding the repetitive nature of the text, where they found many instructions to be unoriginal and lacking depth. Critiques mention that the book includes long code snippets with insufficient explanations, which detracts from the overall learning experience. Despite this, a significant number of readers appreciate the book's practical application and its ability to elevate understanding of data optimizations, affirming its value in a learning journey through machine learning. Overall, while the book has its share of criticisms on repetition and depth, its practical guidance, clarity, and foundational knowledge make it a worthwhile endeavor for those eager to delve into machine learning. **

Avis et évaluations clients

1 évaluations des clients
  • 5 étoile
    100%
  • 4 étoile
    0%
  • 3 étoile
    0%
  • 2 étoile
    0%
  • 1 étoile
    0%

Donnez votre avis sur ce produit

Partagez votre avis avec d'autres clients

Avantages

  • Friendly and accessible for beginners and intermediate users.
  • Clear and easy-to-follow step-by-step instructions.
  • Excellent for practical application with industry-relevant examples.
  • Effective utilization of standard datasets to illustrate concepts.

Les inconvénients

  • Some readers find the content repetitive and lacking originality.

CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR

trustpilot logo
4.2/5 9477 avis
Lire les avis
JK
Jasmin
Acheteur vérifié

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Acheteur vérifié

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Acheteur vérifié

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Acheteur vérifié

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Acheteur vérifié

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Paiement sécurisé Global Delivery Retours faciles Genuine Products

Historique des prix du produit

Informations importantes

  • Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
  • Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

MUR 2813

Commandez maintenant et recevez votre commande aux alentours du Vendredi, Octobre 09

QTY:

Transaction sécuriséeTransaction sécurisée

Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Livraison transfrontalière la plus rapide

Caractéristiques et avantages

  • Learn Scikit-Learn and machine learning fundamentals.
  • Includes hands-on examples written in Python.
  • Covers necessary applied math and programming skills.
  • Ideal for aspiring data scientists and those new to machine learning.
  • Explore datasets and apply various machine learning algorithms.
  • Compatible with Anaconda distribution for effective data science practice.

Assurance Ubuy

Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.