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Mastering Machine Learning with scikit-learn - Second Edition: Apply effective learning algorithms to real-world problems using scikit-learn 2nd ed.
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QAR 214
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What Stands Out
Product Details
| Publisher | Packt Publishing |
| Publication date | July 24, 2017 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 254 pages |
| ISBN-10 | 1788299876 |
| ISBN-13 | 978-1788299879 |
| Item Weight | 15.7 ounces (445.1 grams) |
| Dimensions | 7.5 x 0.58 x 9.25 inches (19.1 x 1.5 x 23.5 cm) |
Who Should Buy?
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Data Scientists
Ideal for data scientists seeking to enhance their machine learning skills using scikit-learn for practical applications.
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Beginners in ML
A great resource for those new to machine learning, providing clear explanations and hands-on examples for learning.
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Developers
Useful for developers looking to implement machine learning algorithms in Python projects with scikit-learn expertise.
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Experts in ML
May not offer advanced insights or techniques that seasoned machine learning professionals require for cutting-edge applications.
Product Description
Mastering Machine Learning with scikit-learn - Second Edition: Apply effective learning algorithms to real-world problems using scikit-learn 2nd ed. Edition
About This Item
Product Description: Are you ready to take your machine learning skills to the next level? Look no further than "Mastering Machine Learning with scikit-learn - Second Edition." This revised edition provides in-depth insights into applying effective learning algorithms to real-world problems using the popular scikit-learn Python library. Whether you're an aspiring data scientist or a seasoned professional, this book covers all the essential concepts and techniques needed to excel in machine learning. By leveraging scikit-learn's powerful features, you can unlock the full potential of your data and make accurate predictions. Inside this comprehensive guide, you'll discover a wealth of hands-on examples and practical exercises to help you master machine learning with scikit-learn.
Learn to preprocess data, handle missing values, and perform feature engineering to optimize your models. Dive deep into regression, classification, clustering, and dimensionality reduction techniques to solve a variety of challenging problems. The second edition of "Mastering Machine Learning with scikit-learn" has been updated with the latest advancements in the field. From new algorithms to improved performance metrics, you'll stay up to date with the cutting-edge developments in machine learning.
No matter your skill level, this book accommodates both beginners and experienced practitioners. Clear explanations and step-by-step code examples make it easy to understand complex concepts and implement them in your own projects. Discover why scikit-learn has become the go-to library for machine learning in Python.
With its user-friendly interface and extensive documentation, scikit-learn empowers you to build accurate and efficient machine learning models with ease. Don't miss out on the opportunity to become a master of machine learning. Order your copy of "Mastering Machine Learning with scikit-learn - Second Edition" today and unlock the full potential of scikit-learn in your data-driven projects.
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Pros
- Comprehensive coverage of algorithms
- Practical real-world examples
- Well-structured and easy to follow
- Engaging writing style
- Great for beginners and experts
Cons
- Minor typos in some sections.
Product Price History
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