- Shafin Gida /
- Littattafai /
- Kwanfuta & Fasahar ta /
- Kimiyyar Na'urar Kwanfuta /
- AI & Machine Learning /
- Expert Systems /
- Master Machine Learning with scikit-learn: A ...
0 ratings
Lambar abu:
214828101
Master Machine Learning with scikit-learn: A Practical Guide to Building Better Models with Python
89% of respondents would recommend this to a friend
Lambar abu:
214828101
XAF 18317
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from Ƙasar Amurika US
0 ratings
Rubuta bita
A Stock
An shigo da shi daga kantin USA
Yi Oda yanzu, a samu nan da Laraba, Satumba 09
Secured 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
If you think that Machine Learning is too complex for you to learn, I cannot recommend this book enough. It will give you the confidence you need, along with the knowledge you want.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Note: Step Down Voltage Transformer required for using electronics products of Ƙasar Amurika US store (110-120). Recommended power converters Saya yanzu.
What Stands Out
Comprehensive Learning
This guide covers all essential machine learning concepts using scikit-learn, enabling readers to grasp complex ideas and apply them effectively in practical scenarios.
Hands-On Approach
The practical focus allows users to build their models step-by-step, enhancing understanding through implementation and reducing the learning curve typically associated with machine learning.
Up-to-Date Techniques
Published in 2026, it incorporates the latest advancements in machine learning, ensuring that users are equipped with current methodologies and tools to excel in their projects.
Bayanin samfur
| Publisher | Independently published |
| Publication date | March 4, 2026 |
| Language | English |
| Print length | 315 pages |
| ISBN-13 | 979-8299179460 |
| Item Weight | 1.2 pounds (540 grams) |
| Dimensions | 7.5 x 0.71 x 9.25 inches (19.1 x 1.8 x 23.5 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Perfect for beginners aiming to develop practical machine learning skills using the popular scikit-learn library in Python.
-
Intermediate Practitioners
Ideal for those with basic knowledge of machine learning who want to enhance their model-building techniques and understanding.
-
Python Enthusiasts
Great for developers and programmers looking to integrate machine learning solutions into their Python applications and projects.
-
Complete Beginners
Users without prior programming or machine learning experience may struggle with the concepts and practical implementations in this book.
KWATANCEN ABUN
Master Machine Learning with scikit-learn: A Practical Guide to Building Better Models with Python
Kuna da wata tambaya? Yi taɗi da mu
Tambayoyi & Amsoshi Abokin Ciniki
-
Tambaya:
What is the main focus of the book?
Amsa: The book provides practical guidance on mastering Machine Learning using scikit-learn. -
Tambaya:
Who is this book suitable for?
Amsa: It's ideal for beginners in Machine Learning looking to build confidence and skills. -
Tambaya:
What can I expect to learn from this book?
Amsa: You will learn best practices, problem-solving techniques, and how to efficiently work with scikit-learn.
Expert Systems Editorial Review
**Editorial Review of *Master Machine Learning with scikit-learn: A Practical Guide to Building Better Models with Python*** *Master Machine Learning with scikit-learn* by Kevin Markham emerges as a leading resource for individuals venturing into the realm of machine learning, balancing both educational rigor and practical application. Markham's adeptness as an educator is paramount, evident in the clarity and efficiency with which he presents complex concepts. The book acts as a companion to his acclaimed online courses, distilling intricate topics into concise, accessible chapters rich in practical examples and code-driven explanations. A standout attribute is the inclusion of a Q&A section at the end of each chapter, which addresses common queries and provides deeper insights into design choices and best practices. This feature enhances the reader's understanding and supports the development of robust models capable of thriving in real-world applications. While not delving deeply into theoretical aspects or the mathematical underpinnings of algorithms, the book successfully fulfills its role as a practical guide. It is particularly beneficial for those new to machine learning as well as more experienced practitioners looking to refine their skills. Moreover, readers have lauded the book's attention to detail in presentation, from its formatting to its visual appeal, enriching the overall learning experience. The text not only introduces foundational concepts but also ventures into advanced topics often overlooked by other resources, such as data leakage and feature engineering. Markham's approach makes the book an invaluable addition to any data science library, offering exceptional value for its price—typically less than $20. This guide stands as a testament to effective technical communication, making the daunting world of machine learning accessible and engaging. **
Customer Reviews & Ratings
1 Ƙimar da abokan ciniki suka bayar
-
5 Tauraruwa
100%
-
4 Tauraruwa
0%
-
3 Tauraruwa
0%
-
2 Tauraruwa
0%
-
1 Tauraruwa
0%
Yi bitar akan wannan Samfurin
Faɗan wa sauran Abokan ciniki ra'ayin ka
Ribobi
- Clear and concise presentation of complex concepts
- Packed with practical examples and code-driven explanations
- Q&A sections provide valuable insights and best practices
- Covers both foundational and advanced topics
- Excellent resource for both beginners and experienced practitioners
- High-quality layout and formatting enhance readability
- Exceptional value for money
Fursunoni
- Does not focus on theoretical aspects or mathematical foundations of algorithms
Platform Trust & Buyer Confidence
MA
Mohammad
Verified buyer
“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”
23 July 2026 · via Trustpilot
CK
Chitra
Verified buyer
“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”
22-Jul-26 · via Trustpilot
K
kund
Verified buyer
“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”
23-Jul-26 · via Trustpilot
OO
Onesi
Verified buyer
“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”
22 July 2026 · via Trustpilot
SJ
SAO JOHN
Verified buyer
“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”
23 July 2026 · via Trustpilot
Biyan Kuɗi Amintaccen
Global Delivery
Easy Returns
Genuine Products
Product Price History
Sanarwa mai amfani
- Iyakoki: Don Abubuwan da aka yi sufurin su daga ƙasashen waje, a lura da cewa garanti ɗin mai ƙira ba lallai ya yi aiki ba; wajan neman taimakon mai ƙira ba lallai ya samu ba; kuma Littafin Sanin yanda abu yake aiki, hanyoyin tsaro da umarni ba lallai ya kasance a yaren ƙasar mai siya ba; Samfurin kaya (da sauran kayan haɗi) ba lallai ne an ƙera su a bisa tsarin ƙasar da za a kaya kayan ba, da ƙayyadaddun bayanai, ko dokar yin alama ko laƙabi; kuma ba lallai bane samfuran kayan su dace da ma'aunin wutar lantarki na voltage ɗin kasar da sauran dokokin ƙasa na wutar lantarki (wanda za'a buƙaci amfani da na'urar adafta ko na'urar canza launi idan ya dace). Mai karɓar kaya shi/ita ke da alhakin tabbatar da cewa samfurin da aka siya za'a iya shigo da shi ƙasar da za'a kai a bisa dokar ƙasar. A yayin yin oda daga Ubuy ko masu alaƙa da su, mai karɓar oda ne mai shigo da kaya, kuma dole ya/ta tabbarar da cewa ya/ta bi duka dokokin ƙasar da za'a kai kayan.
- Ba dukkan abubuwan da aka saka a kan Ubuy bane na sayar wa, don Ubuy wajen bincike ne na duk duniya. Duk wani Samfurin abu yana da dokokin shige da fice na ƙasashe da kuma dokokin siye da sayar wa.
XAF 18317
Yi Oda yanzu, a samu nan da Laraba, Satumba 09
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Fasaloli & Fa'idoji
- Transform from Machine Learning novice to practitioner.
- Learn best practices for applying Machine Learning effectively.
- Gain confidence to tackle new problems with a systematic approach.
- Easier to write and read code, resulting in improved outcomes.
- Authored by an experienced instructor passionate about teaching.
- Well-structured content makes complex topics easy to grasp.
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.